Year |
Citation |
Score |
2023 |
Wong SWH, Pastrello C, Kotlyar M, Faloutsos C, Jurisica I. USNAP: Fast unique dense region detection and its application to lung cancer. Bioinformatics (Oxford, England). PMID 37527019 DOI: 10.1093/bioinformatics/btad477 |
0.405 |
|
2022 |
Vajiac C, Chau DH, Olligschlaeger A, Mackenzie R, Nair P, Lee MC, Li Y, Park N, Rabbany R, Faloutsos C. TRAFFICVIS: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. Ieee Transactions On Visualization and Computer Graphics. PMID 36201417 DOI: 10.1109/TVCG.2022.3209403 |
0.635 |
|
2021 |
Feng W, Liu S, Faloutsos C, Hooi B, Shen H, Cheng X. EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection Future Generation Computer Systems. 115: 236-250. DOI: 10.1016/J.Future.2020.08.033 |
0.435 |
|
2020 |
Hooi B, Shin K, Lamba H, Faloutsos C. TellTail: Fast Scoring and Detection of Dense Subgraphs Proceedings of the Aaai Conference On Artificial Intelligence. 34: 4150-4157. DOI: 10.1609/AAAI.V34I04.5835 |
0.404 |
|
2020 |
Bhatia S, Hooi B, Yoon M, Shin K, Faloutsos C. Midas: Microcluster-Based Detector of Anomalies in Edge Streams Proceedings of the Aaai Conference On Artificial Intelligence. 34: 3242-3249. DOI: 10.1609/AAAI.V34I04.5724 |
0.308 |
|
2020 |
Shin K, Oh S, Kim J, Hooi B, Faloutsos C. Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams Acm Transactions On Knowledge Discovery From Data. 14: 1-39. DOI: 10.1145/3375392 |
0.43 |
|
2020 |
Zhang J, Oh J, Shin K, Papalexakis EE, Faloutsos C, Yu H. Fast and memory-efficient algorithms for high-order Tucker decomposition Knowledge and Information Systems. 62: 2765-2794. DOI: 10.1007/S10115-019-01435-1 |
0.373 |
|
2020 |
Lee D, Shin K, Faloutsos C. Temporal locality-aware sampling for accurate triangle counting in real graph streams The Vldb Journal. 1-25. DOI: 10.1007/S00778-020-00624-7 |
0.465 |
|
2019 |
Liu S, Hooi B, Faloutsos C. A Contrast Metric for Fraud Detection in Rich Graphs Ieee Transactions On Knowledge and Data Engineering. 31: 2235-2248. DOI: 10.1109/Tkde.2018.2876531 |
0.487 |
|
2019 |
Fu X, Huang K, Papalexakis EE, Song HA, Talukdar P, Sidiropoulos ND, Faloutsos C, Mitchell T. Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data Ieee Transactions On Knowledge and Data Engineering. 31: 2304-2318. DOI: 10.1109/Tkde.2018.2875908 |
0.348 |
|
2018 |
Shin K, Hooi B, Faloutsos C. Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining Acm Transactions On Knowledge Discovery From Data. 12: 1-30. DOI: 10.1145/3154414 |
0.323 |
|
2018 |
Zang C, Cui P, Faloutsos C, Zhu W. On Power Law Growth of Social Networks Ieee Transactions On Knowledge and Data Engineering. 30: 1727-1740. DOI: 10.1109/Tkde.2018.2801844 |
0.316 |
|
2018 |
Araujo M, Ribeiro P, Song HA, Faloutsos C. TensorCast: forecasting and mining with coupled tensors Knowledge and Information Systems. 59: 497-522. DOI: 10.1007/S10115-018-1223-9 |
0.364 |
|
2017 |
Wong SWH, Pastrello C, Kotlyar M, Faloutsos C, Jurisica I. Modeling tumor progression via the comparison of stage-specific graphs. Methods (San Diego, Calif.). PMID 28684340 DOI: 10.1016/J.Ymeth.2017.06.033 |
0.359 |
|
2017 |
Koutra D, Faloutsos C. Individual and Collective Graph Mining: Principles, Algorithms, and Applications Synthesis Lectures On Data Mining and Knowledge Discovery. 9: 1-206. DOI: 10.2200/S00796ED1V01Y201708DMK014 |
0.329 |
|
2017 |
Matsubara Y, Sakurai Y, Prakash BA, Li L, Faloutsos C. Nonlinear Dynamics of Information Diffusion in Social Networks Acm Transactions On the Web. 11: 1-40. DOI: 10.1145/3057741 |
0.375 |
|
2017 |
Papalexakis EE, Faloutsos C, Sidiropoulos ND. Tensors for Data Mining and Data Fusion Acm Transactions On Intelligent Systems and Technology. 8: 1-44. DOI: 10.1145/2915921 |
0.36 |
|
2017 |
Shin K, Eliassi-Rad T, Faloutsos C. Patterns and anomalies in k-cores of real-world graphs with applications Knowledge and Information Systems. 54: 677-710. DOI: 10.1007/S10115-017-1077-6 |
0.4 |
|
2016 |
Papalexakis E, Hooi B, Pelechrinis K, Faloutsos C. Power-Hop: A Pervasive Observation for Real Complex Networks. Plos One. 11: e0151027. PMID 26974560 DOI: 10.1371/Journal.Pone.0151027 |
0.336 |
|
2016 |
Chen C, Tong H, Prakash BA, Eliassi-Rad T, Faloutsos M, Faloutsos C. Eigen-optimization on large graphs by edge manipulation Acm Transactions On Knowledge Discovery From Data. 10. DOI: 10.1145/2903148 |
0.704 |
|
2016 |
Koutra D, Shah N, Vogelstein JT, Gallagher B, Faloutsos C. DELTACON: Principled massive-graph similarity function with attribution Acm Transactions On Knowledge Discovery From Data. 10. DOI: 10.1145/2824443 |
0.498 |
|
2016 |
Jiang M, Cui P, Beutel A, Faloutsos C, Yang S. Catching Synchronized Behaviors in Large Networks Acm Transactions On Knowledge Discovery From Data. 10: 1-27. DOI: 10.1145/2746403 |
0.503 |
|
2016 |
Guo Z, Zhang Z(, Xing EP, Faloutsos C. Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning Acm Transactions On Knowledge Discovery From Data. 10: 1-30. DOI: 10.1145/2742549 |
0.357 |
|
2016 |
Weng Y, Negi R, Faloutsos C, Ilic MD. Robust Data-Driven State Estimation for Smart Grid Ieee Transactions On Smart Grid. DOI: 10.1109/Tsg.2015.2512925 |
0.325 |
|
2016 |
Jiang M, Beutel A, Cui P, Hooi B, Yang S, Faloutsos C. Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms Ieee Transactions On Knowledge and Data Engineering. 28: 2187-2200. DOI: 10.1109/Tkde.2016.2555310 |
0.416 |
|
2016 |
Chen C, Tong H, Prakash BA, Tsourakakis CE, Eliassi-Rad T, Faloutsos C, Chau DH. Node Immunization on Large Graphs: Theory and Algorithms Ieee Transactions On Knowledge and Data Engineering. 28: 113-126. DOI: 10.1109/Tkde.2015.2465378 |
0.808 |
|
2016 |
Matsubara Y, Sakurai Y, Faloutsos C. Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities World Wide Web. 1-27. DOI: 10.1007/S11280-016-0389-X |
0.308 |
|
2016 |
Araujo M, Günnemann S, Papadimitriou S, Faloutsos C, Basu P, Swami A, Papalexakis EE, Koutra D. Discovery of “comet” communities in temporal and labeled graphs Com (Formula presented.) Knowledge and Information Systems. 46: 657-677. DOI: 10.1007/S10115-015-0847-2 |
0.81 |
|
2015 |
Shah N, Koutra D, Zou T, Gallagher B, Faloutsos C. TimeCrunch: Interpretable dynamic graph summarization Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 1055-1064. DOI: 10.1145/2783258.2783321 |
0.4 |
|
2015 |
Papalexakis EE, Faloutsos C, Sidiropoulos ND. ParCube: Sparse parallelizable CANDECOMP-PARAFAC tensor decomposition Acm Transactions On Knowledge Discovery From Data. 10. DOI: 10.1145/2729980 |
0.352 |
|
2015 |
Shah N, Beutel A, Gallagher B, Faloutsos C. Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective Proceedings - Ieee International Conference On Data Mining, Icdm. 2015: 959-964. DOI: 10.1109/ICDM.2014.36 |
0.324 |
|
2015 |
Navlakha S, Faloutsos C, Bar-Joseph Z. MassExodus: modeling evolving networks in harsh environments Data Mining and Knowledge Discovery. 29: 1211-1232. DOI: 10.1007/S10618-014-0399-1 |
0.381 |
|
2015 |
Jiang M, Cui P, Beutel A, Faloutsos C, Yang S. Inferring lockstep behavior from connectivity pattern in large graphs Knowledge and Information Systems. DOI: 10.1007/S10115-015-0883-Y |
0.492 |
|
2015 |
Ranshous S, Shen S, Koutra D, Harenberg S, Faloutsos C, Samatova NF. Anomaly detection in dynamic networks: a survey Wiley Interdisciplinary Reviews: Computational Statistics. 7: 223-247. DOI: 10.1002/Wics.1347 |
0.463 |
|
2015 |
Koutra D, Kang U, Vreeken J, Faloutsos C. Summarizing and understanding large graphs Statistical Analysis and Data Mining. 8: 183-202. DOI: 10.1002/Sam.11267 |
0.641 |
|
2014 |
Navlakha S, He X, Faloutsos C, Bar-Joseph Z. Topological properties of robust biological and computational networks. Journal of the Royal Society, Interface / the Royal Society. 11: 20140283. PMID 24789562 DOI: 10.1098/Rsif.2014.0283 |
0.343 |
|
2014 |
Bae DH, Hwang SM, Kim SW, Faloutsos C. On Constructing Seminal Paper Genealogy. Ieee Transactions On Cybernetics. 44: 54-65. PMID 23757533 DOI: 10.1109/Tcyb.2013.2246565 |
0.314 |
|
2014 |
Koutra D, Kang U, Vreeken J, Faloutsos C. VoG: Summarizing and understanding large graphs Siam International Conference On Data Mining 2014, Sdm 2014. 1: 91-99. DOI: 10.1137/1.9781611973440.11 |
0.349 |
|
2014 |
Lim Y, Kang U, Faloutsos C. SlashBurn: Graph Compression and Mining beyond Caveman Communities Ieee Transactions On Knowledge and Data Engineering. 26: 3077-3089. DOI: 10.1109/Tkde.2014.2320716 |
0.645 |
|
2014 |
Kang U, Meeder B, Papalexakis EE, Faloutsos C. HEigen: Spectral Analysis for Billion-Scale Graphs Ieee Transactions On Knowledge and Data Engineering. 26: 350-362. DOI: 10.1109/Tkde.2012.244 |
0.668 |
|
2014 |
Sidiropoulos ND, Papalexakis EE, Faloutsos C. Parallel randomly compressed cubes : A scalable distributed architecture for big tensor decomposition Ieee Signal Processing Magazine. 31: 57-70. DOI: 10.1109/Msp.2014.2329196 |
0.309 |
|
2014 |
Cordeiro RLF, Guo F, Haverkamp DS, Horne JH, Hughes EK, Kim G, Romani LAS, Coltri PP, Souza TT, Traina AJM, Traina C, Faloutsos C. QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases Information Sciences. 264: 211-229. DOI: 10.1016/J.Ins.2013.11.013 |
0.559 |
|
2014 |
Papalexakis EE, Dumitras T, Chau DH, Prakash BA, Faloutsos C. SharkFin: Spatio-temporal mining of software adoption and penetration Social Network Analysis and Mining. 4: 1-15. DOI: 10.1007/S13278-014-0240-2 |
0.678 |
|
2014 |
Jang M, Kim S, Faloutsos C, Park S. Accurate Approximation of the Earth Mover’s Distance in Linear Time Journal of Computer Science and Technology. 29: 142-154. DOI: 10.1007/S11390-014-1417-X |
0.322 |
|
2014 |
Malliaros FD, Megalooikonomou V, Faloutsos C. Estimating robustness in large social graphs Knowledge and Information Systems. 45: 645-678. DOI: 10.1007/S10115-014-0810-7 |
0.497 |
|
2014 |
Prakash BA, Vreeken J, Faloutsos C. Efficiently spotting the starting points of an epidemic in a large graph Knowledge and Information Systems. 38: 35-59. DOI: 10.1007/S10115-013-0671-5 |
0.426 |
|
2013 |
Papalexakis EE, Dumitras T, Chau DH, Prakash BA, Faloutsos C. Spatio-temporal mining of software adoption and penetration Proceedings of the 2013 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2013. 878-885. DOI: 10.1145/2492517.2500244 |
0.653 |
|
2013 |
Kang U, Faloutsos C. Big graph mining Acm Sigkdd Explorations Newsletter. 14: 29-36. DOI: 10.1145/2481244.2481249 |
0.671 |
|
2013 |
Akoglu L, Faloutsos C. Anomaly, event, and fraud detection in large network datasets Wsdm 2013 - Proceedings of the 6th Acm International Conference On Web Search and Data Mining. 773-774. DOI: 10.1145/2433396.2433496 |
0.374 |
|
2013 |
Rodrigues JF, Tong H, Pan J, Traina AJM, Traina C, Faloutsos C. Large Graph Analysis in the GMine System Ieee Transactions On Knowledge and Data Engineering. 25: 106-118. DOI: 10.1109/Tkde.2011.199 |
0.822 |
|
2013 |
Cordeiro RLF, Traina AJM, Faloutsos C, Traina C. Halite: Fast and scalable multiresolution local-correlation clustering Ieee Transactions On Knowledge and Data Engineering. 25: 387-401. DOI: 10.1109/Tkde.2011.176 |
0.305 |
|
2013 |
Wei X, Valler NC, Aditya Prakash B, Neamtiu I, Faloutsos M, Faloutsos C. Competing memes propagation on networks: A network science perspective Ieee Journal On Selected Areas in Communications. 31: 1049-1060. DOI: 10.1109/Jsac.2013.130607 |
0.388 |
|
2013 |
Mattson T, Bader D, Berry J, Buluc A, Dongarra J, Faloutsos C, Feo J, Gilbert J, Gonzalez J, Hendrickson B, Kepner J, Leiserson C, Lumsdaine A, Padua D, Poole S, et al. Standards for graph algorithm primitives 2013 Ieee High Performance Extreme Computing Conference, Hpec 2013. DOI: 10.1109/HPEC.2013.6670338 |
0.302 |
|
2012 |
Chakrabarti D, Faloutsos C. Graph Mining: Laws, Tools, and Case Studies Synthesis Lectures On Data Mining and Knowledge Discovery. 3: 1-207. DOI: 10.2200/S00449ED1V01Y201209DMK006 |
0.309 |
|
2012 |
Maruhashi K, Guo F, Faloutsos C. MultiAspectForensics: mining large heterogeneous networks using tensor International Journal of Web Engineering and Technology. 7: 302. DOI: 10.1504/Ijwet.2012.050958 |
0.668 |
|
2012 |
Tong H, Prakash BA, Eliassi-Rad T, Faloutsos M, Faloutsos C. Gelling, and melting, large graphs by edge manipulation Acm International Conference Proceeding Series. 245-254. DOI: 10.1145/2396761.2396795 |
0.308 |
|
2012 |
Vaz de Melo POS, Almeida VAF, Loureiro AAF, Faloutsos C. Forecasting in the NBA and other team sports Acm Transactions On Knowledge Discovery From Data. 6: 1-27. DOI: 10.1145/2362383.2362387 |
0.309 |
|
2012 |
Chau DH, Akoglu L, Vreeken J, Tong H, Faloutsos C. TourViz: Interactive visualization of connection pathways in large graphs Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1516-1519. DOI: 10.1145/2339530.2339769 |
0.776 |
|
2012 |
Kang U, Papalexakis E, Harpale A, Faloutsos C. GigaTensor: Scaling tensor analysis up by 100 times - Algorithms and discoveries Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 316-324. DOI: 10.1145/2339530.2339583 |
0.321 |
|
2012 |
Akoglu L, Chau DH, Kang U, Koutra D, Faloutsos C. OPAvion: Mining and visualization in large graphs Proceedings of the Acm Sigmod International Conference On Management of Data. 717-720. DOI: 10.1145/2213836.2213941 |
0.74 |
|
2012 |
Prakash BA, Beutel A, Rosenfeld R, Faloutsos C. Winner takes all: Competing viruses or ideas on fair-play networks Www'12 - Proceedings of the 21st Annual Conference On World Wide Web. 1037-1046. DOI: 10.1145/2187836.2187975 |
0.342 |
|
2012 |
Pao HK, Mao CH, Lee HM, Chen CD, Faloutsos C. An intrinsic graphical signature based on alert correlation analysis for intrusion detection Journal of Information Science and Engineering. 28: 243-262. DOI: 10.1109/TAAI.2010.27 |
0.301 |
|
2012 |
Chau DH, Akoglu L, Vreeken J, Tong H, Faloutsos C. Interactively and visually exploring tours of marked nodes in large graphs Proceedings of the 2012 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2012. 696-698. DOI: 10.1109/ASONAM.2012.115 |
0.782 |
|
2012 |
Tong H, Papadimitriou S, Faloutsos C, Yu PS, Eliassi-Rad T. Gateway finder in large graphs: Problem definitions and fast solutions Information Retrieval. 15: 391-411. DOI: 10.1007/S10791-012-9190-3 |
0.805 |
|
2012 |
Prakash BA, Chakrabarti D, Valler NC, Faloutsos M, Faloutsos C. Threshold conditions for arbitrary cascade models on arbitrary networks Knowledge and Information Systems. 33: 549-575. DOI: 10.1007/S10115-012-0520-Y |
0.677 |
|
2012 |
Kang U, Tong H, Sun J, Lin C, Faloutsos C. gbase: an efficient analysis platform for large graphs The Vldb Journal. 21: 637-650. DOI: 10.1007/s00778-012-0283-9 |
0.67 |
|
2011 |
Barnathan M, Megalooikonomou V, Faloutsos C, Faro S, Mohamed FB. TWave: high-order analysis of functional MRI. Neuroimage. 58: 537-48. PMID 21729758 DOI: 10.1016/J.Neuroimage.2011.06.043 |
0.329 |
|
2011 |
Chau DH, Kittur A, Hong JI, Faloutsos C. Apolo: Interactive large graph sensemaking by combining machine learning and visualization Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 739-742. DOI: 10.1145/2020408.2020524 |
0.677 |
|
2011 |
Chau DH, Kittur A, Hong JI, Faloutsos C. Apolo: Making sense of large network data by combining rich user interaction and machine learning Conference On Human Factors in Computing Systems - Proceedings. 167-176. DOI: 10.1145/1978942.1978967 |
0.649 |
|
2011 |
Kang U, Tsourakakis CE, Appel AP, Faloutsos C, Leskovec J. HADI: Mining radii of large graphs Acm Transactions On Knowledge Discovery From Data. 5. DOI: 10.1145/1921632.1921634 |
0.659 |
|
2011 |
Prakash BA, Chakrabarti D, Faloutsos M, Valler N, Faloutsos C. Threshold conditions for arbitrary cascade models on arbitrary networks Proceedings - Ieee International Conference On Data Mining, Icdm. 537-546. DOI: 10.1109/ICDM.2011.145 |
0.348 |
|
2011 |
Tsourakakis CE, Drineas P, Michelakis E, Koutis I, Faloutsos C. Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation Social Network Analysis and Mining. 1: 75-81. DOI: 10.1007/S13278-010-0001-9 |
0.512 |
|
2011 |
Kang U, Tsourakakis CE, Faloutsos C. PEGASUS: Mining peta-scale graphs Knowledge and Information Systems. 27: 303-325. DOI: 10.1007/s10115-010-0305-0 |
0.405 |
|
2011 |
Valler NC, Prakash BA, Tong H, Faloutsos M, Faloutsos C. Epidemic spread in mobile ad hoc networks: Determining the tipping point Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6640: 266-280. DOI: 10.1007/978-3-642-20757-0_21 |
0.569 |
|
2010 |
Sakurai Y, Faloutsos C, Papadimitriou S. Fast Discovery of Group Lag Correlations in Streams Acm Transactions On Knowledge Discovery From Data. 5: 1-43. DOI: 10.1145/1870096.1870101 |
0.781 |
|
2010 |
Liu C, Guo F, Faloutsos C. Bayesian Browsing Model Acm Transactions On Knowledge Discovery From Data. 4: 1-26. DOI: 10.1145/1857947.1857951 |
0.585 |
|
2010 |
Henderson K, Eliassi-Rad T, Faloutsos C, Akoglu L, Li L, Maruhashi K, Prakash BA, Tong H. Metric forensics: A multi-level approach for mining volatile graphs Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 163-172. DOI: 10.1145/1835804.1835828 |
0.325 |
|
2010 |
Tong H, Prakash BA, Tsourakakis C, Eliassi-Rad T, Faloutsos C, Chau DH. On the vulnerability of large graphs Proceedings - Ieee International Conference On Data Mining, Icdm. 1091-1096. DOI: 10.1109/ICDM.2010.54 |
0.732 |
|
2010 |
Kang U, McGlohon M, Akoglu L, Faloutsos C. Patterns on the connected components of terabyte-scale graphs Proceedings - Ieee International Conference On Data Mining, Icdm. 875-880. DOI: 10.1109/ICDM.2010.121 |
0.312 |
|
2010 |
Wang Q, Megalooikonomou V, Faloutsos C. Time series analysis with multiple resolutions Information Systems. 35: 56-74. DOI: 10.1016/J.Is.2009.03.006 |
0.331 |
|
2010 |
Prakash BA, Tong H, Valler N, Faloutsos M, Faloutsos C. Virus propagation on time-varying networks: Theory and immunization algorithms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6323: 99-114. DOI: 10.1007/978-3-642-15939-8_7 |
0.581 |
|
2010 |
Leskovec J, Chakrabarti D, Kleinberg J, Faloutsos C, Ghahramani Z. Kronecker graphs: An approach to modeling networks Journal of Machine Learning Research. 11: 985-1042. |
0.339 |
|
2009 |
McGlohon M, Bay S, Anderle MG, Steier DM, Faloutsos C. SNARE: A link analytic system for graph labeling and risk detection Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1265-1273. DOI: 10.1145/1557019.1557155 |
0.359 |
|
2009 |
Tsourakakis CE, Kang U, Miller GL, Faloutsos C. DOULION: Counting triangles in massive graphs with a coin Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 837-845. DOI: 10.1145/1557019.1557111 |
0.345 |
|
2009 |
Kang U, Tsourakakis CE, Faloutsos C. PEGASUS: A peta-scale graph mining system - Implementation and observations Proceedings - Ieee International Conference On Data Mining, Icdm. 229-238. DOI: 10.1109/ICDM.2009.14 |
0.401 |
|
2009 |
Tsourakakis CE, Drineas P, Michelakis E, Koutis I, Faloutsos C. Spectral counting of triangles in power-law networks via element-wise sparsification Proceedings of the 2009 International Conference On Advances in Social Network Analysis and Mining, Asonam 2009. 66-71. DOI: 10.1109/ASONAM.2009.32 |
0.372 |
|
2009 |
Akoglu L, Faloutsos C. RTG: a recursive realistic graph generator using random typing Data Mining and Knowledge Discovery. 19: 194-209. DOI: 10.1007/s10618-009-0140-7 |
0.322 |
|
2009 |
Akoglu L, Faloutsos C. RTG: A recursive realistic graph generator using random typing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5781: 13-28. DOI: 10.1007/S10618-009-0140-7 |
0.464 |
|
2008 |
Sun J, Tao D, Papadimitriou S, Yu PS, Faloutsos C. Incremental tensor analysis Acm Transactions On Knowledge Discovery From Data. 2: 1-37. DOI: 10.1145/1409620.1409621 |
0.801 |
|
2008 |
McGlohon M, Akoglu L, Faloutsos C. Weighted graphs and disconnected components: Patterns and a generator Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 524-532. DOI: 10.1145/1401890.1401955 |
0.403 |
|
2008 |
Chakrabarti D, Wang Y, Wang C, Leskovec J, Faloutsos C. Epidemic thresholds in real networks Acm Transactions On Information and System Security. 10: 1-26. DOI: 10.1145/1284680.1284681 |
0.8 |
|
2008 |
Tao D, Song M, Li X, Shen J, Sun J, Wu X, Faloutsos C, Maybank SJ. Bayesian Tensor Approach for 3-D Face Modeling Ieee Transactions On Circuits and Systems For Video Technology. 18: 1397-1410. DOI: 10.1109/Tcsvt.2008.2002825 |
0.62 |
|
2008 |
Beyene Y, Faloutsos M, Chau DH, Faloutsos C. The eBay graph: How do online auction users interact? Proceedings - Ieee Infocom. DOI: 10.1109/INFOCOM.2008.4544649 |
0.731 |
|
2008 |
Chau DH, Faloutsos C, Tong H, Hong JI, Gallagher B, Eliassi-Rad T. GRAPHITE: A visual query system for large graphs Proceedings - Ieee International Conference On Data Mining Workshops, Icdm Workshops 2008. 963-966. DOI: 10.1109/ICDMW.2008.99 |
0.709 |
|
2008 |
Akoglu L, McGlohon M, Faloutsos C. RTM: Laws and a recursive generator for weighted time-evolving graphs Proceedings - Ieee International Conference On Data Mining, Icdm. 701-706. DOI: 10.1109/ICDM.2008.123 |
0.367 |
|
2008 |
Krause A, Leskovec J, Guestrin C, VanBriesen J, Faloutsos C. Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks Journal of Water Resources Planning and Management. 134: 516-526. DOI: 10.1061/(Asce)0733-9496(2008)134:6(516) |
0.351 |
|
2008 |
Sun J, Tsourakakis CE, Hoke E, Faloutsos C, Eliassi-Rad T. Two heads better than one: Pattern discovery in time-evolving multi-aspect data Data Mining and Knowledge Discovery. 17: 111-128. DOI: 10.1007/S10618-008-0112-3 |
0.625 |
|
2008 |
Tong H, Faloutsos C, Pan JY. Random walk with restart: Fast solutions and applications Knowledge and Information Systems. 14: 327-346. DOI: 10.1007/S10115-007-0094-2 |
0.818 |
|
2008 |
Tong H, Papadimitriou S, Yu PS, Faloutsos C. Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs Statistical Analysis and Data Mining. 1: 142-156. DOI: 10.1002/Sam.V1:3 |
0.804 |
|
2008 |
Sun J, Xie Y, Zhang H, Faloutsos C. Less is More: Sparse Graph Mining with Compact Matrix Decomposition: Sparse Graph Mining with CMD Statistical Analysis and Data Mining. 1: 6-22. DOI: 10.1002/Sam.102 |
0.464 |
|
2007 |
Pan JY, Yang HJ, Faloutsos C, Duygulu P. Cross-modal correlation mining using graph algorithms Knowledge Discovery and Data Mining: Challenges and Realities. 49-73. DOI: 10.4018/978-1-59904-252-7.ch004 |
0.767 |
|
2007 |
Böhm C, Faloutsos C, Pan J, Plant C. RIC Acm Transactions On Knowledge Discovery From Data. 1: 10. DOI: 10.1145/1297332.1297334 |
0.733 |
|
2007 |
Tong H, Faloutsos C, Koren Y. Fast direction-aware proximity for graph mining Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 747-756. DOI: 10.1145/1281192.1281272 |
0.679 |
|
2007 |
Tong H, Faloutsos C, Gallagher B, Eliassi-Rad T. Fast best-effort pattern matching in large attributed graphs Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 737-746. DOI: 10.1145/1281192.1281271 |
0.67 |
|
2007 |
Leskovec J, Kleinberg J, Faloutsos C. Graph evolution: Densification and shrinking diameters Acm Transactions On Knowledge Discovery From Data. 1. DOI: 10.1145/1217299.1217301 |
0.516 |
|
2007 |
Chakrabarti D, Faloutsos C, Zhan Y. Visualization of large networks with min-cut plots, A-plots and R-MAT International Journal of Human-Computer Studies. 65: 434-445. DOI: 10.1016/J.Ijhcs.2006.11.002 |
0.711 |
|
2007 |
Faloutsos C, Megalooikonomou V. On data mining, compression, and Kolmogorov complexity Data Mining and Knowledge Discovery. 15: 3-20. DOI: 10.1007/S10618-006-0057-3 |
0.326 |
|
2007 |
de Sousa EPM, Traina C, Traina AJM, Wu L, Faloutsos C. A fast and effective method to find correlations among attributes in databases Data Mining and Knowledge Discovery. 14: 367-407. DOI: 10.1007/S10618-006-0056-4 |
0.488 |
|
2007 |
De Sousa EPM, Traina AJM, Traina C, Faloutsos C. Measuring evolving data streams' behavior through their intrinsic dimension New Generation Computing. 25: 33-59. DOI: 10.1007/S00354-006-0003-3 |
0.349 |
|
2007 |
Sun J, Xie Y, Zhang H, Faloutsos C. Less is More: Sparse Graph Mining with Compact Matrix Decomposition Statistical Analysis and Data Mining: the Asa Data Science Journal. 1: 6-22. DOI: 10.1002/Sam.V1:1 |
0.725 |
|
2006 |
Hoke E, Sun J, Strunk JD, Ganger GR, Faloutsos C. InteMon: Continuous mining of sensor data in large-scale self-* infrastructures Operating Systems Review (Acm). 40: 38-44. DOI: 10.1145/1151374.1151384 |
0.626 |
|
2006 |
Chakrabarti D, Faloutsos C. Graph mining Acm Computing Surveys. 38: 2. DOI: 10.1145/1132952.1132954 |
0.699 |
|
2006 |
Rodrigues JF, Traina AJM, Faloutsos C, Traina C. SuperGraph visualization Ism 2006 - 8th Ieee International Symposium On Multimedia. 227-234. DOI: 10.1109/ISM.2006.143 |
0.399 |
|
2006 |
Tong H, Faloutsos C, Pan JY. Fast random walk with restart and its applications Proceedings - Ieee International Conference On Data Mining, Icdm. 613-622. DOI: 10.1109/ICDM.2006.70 |
0.752 |
|
2006 |
Tao Y, Faloutsos C, Papadias D. Spatial query estimation without the local uniformity assumption Geoinformatica. 10: 261-293. DOI: 10.1007/S10707-006-9828-7 |
0.303 |
|
2005 |
Zhu C, Kitagawa H, Faloutsos C. Example-Based Outlier Detection for High Dimensional Datasets Ipsj Digital Courier. 1: 234-243. DOI: 10.2197/Ipsjdc.1.234 |
0.332 |
|
2005 |
Sun J, Qu H, Chakrabarti D, Faloutsos C. Relevance search and anomaly detection in bipartite graphs Acm Sigkdd Explorations Newsletter. 7: 48-55. DOI: 10.1145/1117454.1117461 |
0.784 |
|
2005 |
Leskovec J, Kleinberg J, Faloutsos C. Graphs over time: Densification laws, shrinking diameters and possible explanations Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 177-187. DOI: 10.1145/1081870.1081893 |
0.329 |
|
2005 |
Bhattacharya A, Ljosa V, Pan JY, Verardo MR, Yang H, Faloutsos C, Singh AK. ViVo: Visual vocabulary construction for mining biomedical images Proceedings - Ieee International Conference On Data Mining, Icdm. 50-57. DOI: 10.1109/ICDM.2005.151 |
0.712 |
|
2005 |
Wong A, Wu L, Gibbons PB, Faloutsos C. Fast estimation of fractal dimension and correlation integral on stream data Information Processing Letters. 93: 91-97. DOI: 10.1016/J.Ipl.2004.09.018 |
0.465 |
|
2005 |
Leskovec J, Chakrabarti D, Kleinberg J, Faloutsos C. Realistic, mathematically tractable graph generation and evolution, using Kronecker multiplication Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3721: 133-145. DOI: 10.1007/11564126_17 |
0.33 |
|
2004 |
Pan JY, Yang HJ, Faloutsos C, Duygulu P. GCap: Graph-based automatic image captioning Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 2004. DOI: 10.1109/CVPR.2004.353 |
0.768 |
|
2004 |
Raz O, Buchheit R, Shaw M, Koopman P, Faloutsos C. Detecting Semantic Anomalies in Truck Weigh-in-Motion Traffic Data Using Data Mining Journal of Computing in Civil Engineering. 18: 291-300. DOI: 10.1061/(Asce)0887-3801(2004)18:4(291) |
0.317 |
|
2002 |
Smyth P, Pregibon D, Faloutsos C. Data-driven evolution of data mining algorithms Communications of the Acm. 45. DOI: 10.1145/545151.545175 |
0.317 |
|
2002 |
Petrakis E, Faloutsos C, Lin K. ImageMap: an image indexing method based on spatial similarity Ieee Transactions On Knowledge and Data Engineering. 14: 979-987. DOI: 10.1109/Tkde.2002.1033768 |
0.392 |
|
2002 |
Traina C, Traina A, Faloutsos C, Seeger B. Fast indexing and visualization of metric data sets using Slim-trees Ieee Transactions On Knowledge and Data Engineering. 14: 244-260. DOI: 10.1109/69.991715 |
0.419 |
|
2001 |
Pan JY, Faloutsos C. VideoGraph: A new tool for video mining and classification Proceedings of the Acm International Conference On Digital Libraries. 116-117. DOI: 10.1145/379437.379462 |
0.713 |
|
2001 |
Proietti G, Faloutsos C. Accurate modeling of region data Ieee Transactions On Knowledge and Data Engineering. 13: 874-883. DOI: 10.1109/69.971184 |
0.346 |
|
2001 |
Korn F, Pagel B, Faloutsos C. On the "dimensionality curse" and the "self-similarity blessing" Ieee Transactions On Knowledge and Data Engineering. 13: 96-111. DOI: 10.1109/69.908983 |
0.35 |
|
2000 |
Proietti G, Faloutsos C. Analysis of range queries and self-spatial join queries on real region datasets stored using an R-tree Ieee Transactions On Knowledge and Data Engineering. 12: 751-762. DOI: 10.1109/69.877506 |
0.331 |
|
1998 |
Belussi A, Faloutsos C. Self-spacial join selectivity estimation using fractal concepts Acm Transactions On Information Systems. 16: 161-201. DOI: 10.1145/279339.279342 |
0.312 |
|
1998 |
Korn P, Sidiropoulos N, Faloutsos C, Siegel E, Protopapas Z. Fast and effective retrieval of medical tumor shapes Ieee Transactions On Knowledge and Data Engineering. 10: 889-904. DOI: 10.1109/69.738356 |
0.342 |
|
1998 |
Kumar A, Tsotras VJ, Faloutsos C. Designing access methods for bitemporal databases Ieee Transactions On Knowledge and Data Engineering. 10: 1-20. DOI: 10.1109/69.667079 |
0.347 |
|
1997 |
Arya M, Cody W, Faloutsos C, Richardson J, Toga A. A 3D medical image database management system. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 20: 269-84. PMID 8954234 DOI: 10.1016/S0895-6111(96)00019-5 |
0.31 |
|
1997 |
Faloutsos C, Kamel I. Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension Journal of Computer and System Sciences. 55: 229-240. DOI: 10.1006/Jcss.1997.1522 |
0.362 |
|
1996 |
Korn P, Sidiropoulos ND, Faloutsos C, Siegel EL, Protopapas Z. Fast and effective similarity search in medical tumor databases using morphology Proceedings of Spie - the International Society For Optical Engineering. 2916: 116-129. DOI: 10.1117/12.257282 |
0.321 |
|
1996 |
Manolopoulos Y, Faloutsos C. Experimenting with pattern-matching algorithms Information Sciences. 90: 75-89. DOI: 10.1016/0020-0255(95)00280-4 |
0.311 |
|
1992 |
Faloutsos C. Analytical results on the quadtree decomposition of arbitrary rectangles Pattern Recognition Letters. 13: 31-40. DOI: 10.1016/0167-8655(92)90112-D |
0.347 |
|
1987 |
Faloutsos C, Christodoulakis S. Description and performance analysis of signature file methods for office filing Acm Transactions On Information Systems. 5: 237-257. DOI: 10.1145/27641.28057 |
0.313 |
|
1986 |
Christodoulakis S, Faloutsos C. A Multimedia Document Server Ieee Aerospace and Electronic Systems Magazine. 1: 2-9. DOI: 10.1109/Maes.1986.5004989 |
0.315 |
|
Low-probability matches (unlikely to be authored by this person) |
2010 |
Li L, Fu B, Faloutsos C. Efficient Parallel Learning of Hidden Markov Chain Models on SMPs Ieice Transactions On Information and Systems. 93: 1330-1342. DOI: 10.1587/Transinf.E93.D.1330 |
0.299 |
|
1995 |
Faloutsos C, Ng R, Sellis T. Flexible and Adaptable Buffer Management Techniques for Database Management Systems Ieee Transactions On Computers. 44: 546-560. DOI: 10.1109/12.376169 |
0.299 |
|
2010 |
Tong H, Papadimitriou S, Faloutsos C, Yu PS, Eliassi-Rad T. BASSET: Scalable gateway finder in large graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6119: 449-463. DOI: 10.1007/978-3-642-13672-6_43 |
0.299 |
|
1997 |
Faloutsos C, Jagadish HV, Manolopoulos Y. Analysis of the n-dimensional quadtree decomposition for arbitrary hyperrectangles Ieee Transactions On Knowledge and Data Engineering. 9: 373-383. DOI: 10.1109/69.599927 |
0.298 |
|
2002 |
Wang M, Ailamaki A, Faloutsos C. Capturing the spatio-temporal behavior of real traffic data Performance Evaluation. 49: 147-163. DOI: 10.1016/S0166-5316(02)00108-6 |
0.298 |
|
1993 |
Niblack CW, Barber R, Equitz W, Flickner MD, Glasman EH, Petkovic D, Yanker P, Faloutsos C, Taubin G. QBIC project: querying images by content, using color, texture, and shape Storage and Retrieval For Image and Video Databases. 1908: 173-187. DOI: 10.1117/12.143648 |
0.298 |
|
1988 |
Roussopoulos N, Faloutsos C, Sellis T. An Efficient Pictorial Database System for PSQL Ieee Transactions On Software Engineering. 14: 639-650. DOI: 10.1109/32.6141 |
0.297 |
|
2016 |
Papalexakis EE, Faloutsos C, Mitchell TM, Talukdar PP, Sidiropoulos ND, Murphy B. Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications. Statistical Analysis and Data Mining. 9: 269-290. PMID 27672406 DOI: 10.1002/Sam.11315 |
0.296 |
|
2016 |
Hooi B, Song HA, Beutel A, Shah N, Shin K, Faloutsos C. FRAUDAR: Bounding graph fraud in the face of camouflage Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 13: 895-904. DOI: 10.1145/2939672.2939747 |
0.296 |
|
2004 |
Kumaraswamy K, Megalooikonomou V, Faloutsos C. Fractal dimension and vector quantization Information Processing Letters. 91: 107-113. DOI: 10.1016/J.Ipl.2004.04.005 |
0.296 |
|
2017 |
Devineni P, Koutra D, Faloutsos M, Faloutsos C. Facebook wall posts: a model of user behaviors Social Network Analysis and Mining. 7. DOI: 10.1007/S13278-017-0422-9 |
0.295 |
|
2017 |
Sidiropoulos ND, De Lathauwer L, Fu X, Huang K, Papalexakis EE, Faloutsos C. Tensor Decomposition for Signal Processing and Machine Learning Ieee Transactions On Signal Processing. 65: 3551-3582. DOI: 10.1109/Tsp.2017.2690524 |
0.294 |
|
2013 |
Mongiovì M, Bogdanov P, Ranca R, Papalexakis EE, Faloutsos C, Singh AK. NetSpot: Spotting significant anomalous regions on dynamic networks Siam International Conference On Data Mining 2013, Smd 2013. 28-36. |
0.294 |
|
1992 |
Lin Z, Faloutsos C. Frame-sliced signature files Ieee Transactions On Knowledge and Data Engineering. 4: 281-289. DOI: 10.1109/69.142018 |
0.294 |
|
2012 |
Melli G, Wu X, Beinat P, Bonchi F, Cao L, Duan R, Faloutsos C, Ghani R, Kitts B, Goethals B, Mclachlan G, Pei J, Srivastava A, Zaïane O. Top-10 data mining case studies International Journal of Information Technology and Decision Making. 11: 389-400. DOI: 10.1142/S021962201240007X |
0.294 |
|
2001 |
Moon B, Jagadish HV, Faloutsos C, Saltz JH. Analysis of the clustering properties of the Hilbert space-filling curve Ieee Transactions On Knowledge and Data Engineering. 13: 124-141. DOI: 10.1109/69.908985 |
0.294 |
|
2002 |
Georgiadis C, Triantafillou P, Faloutsos C. Multimedia Tools and Applications. 18: 137-158. DOI: 10.1023/A:1016207026242 |
0.293 |
|
1997 |
Agnew B, Faloutsos C, Wang Z, Welch DJ, Xue X. Multimedia indexing over the Web Storage and Retrieval For Image and Video Databases. 3022: 72-83. DOI: 10.1117/12.263445 |
0.291 |
|
2010 |
Prakash BA, Sridharan A, Seshadri M, MacHiraju S, Faloutsos C. EigenSpokes: Surprising patterns and scalable community chipping in large graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6119: 435-448. DOI: 10.1007/978-3-642-13672-6_42 |
0.291 |
|
1997 |
Kobla V, Doermann DS, Faloutsos C. Developing high-level representations of video clips using VideoTrails Storage and Retrieval For Image and Video Databases. 3312: 81-92. DOI: 10.1117/12.298472 |
0.291 |
|
2011 |
Mao CH, Pao HK, Faloutsos C, Lee HM. SBAD: Sequence based attack detection via sequence comparison Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6549: 78-91. DOI: 10.1007/978-3-642-19896-0_7 |
0.29 |
|
2014 |
Jiang M, Cui P, Beutel A, Faloutsos C, Yang S. CatchSync: Catching synchronized behavior in large directed graphs Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 941-950. DOI: 10.1145/2623330.2623632 |
0.288 |
|
2017 |
Hooi B, Shin K, Song HA, Beutel A, Shah N, Faloutsos C. Graph-Based Fraud Detection in the Face of Camouflage Acm Transactions On Knowledge Discovery From Data. 11: 1-26. DOI: 10.1145/3056563 |
0.286 |
|
1989 |
Faloutsos C, Rego W. Tri-cell—a data structure for spatial objects Information Systems. 14: 131-139. DOI: 10.1016/0306-4379(89)90041-0 |
0.285 |
|
2011 |
Henderson K, Gallagher B, Li L, Akoglu L, Eliassi-Rad T, Tong H, Faloutsos C. It's who you know: Graph mining using recursive structural features Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 663-671. DOI: 10.1145/2020408.2020512 |
0.285 |
|
2012 |
Henderson K, Gallagher B, Eliassi-Rad T, Tong H, Basu S, Akoglu L, Koutra D, Faloutsos C, Li L. RolX: Structural role extraction & mining in large graphs Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1231-1239. DOI: 10.1145/2339530.2339723 |
0.282 |
|
1991 |
Faloutsos C, Metaxas D. Disk allocation methods using error correcting codes Ieee Transactions On Computers. 40: 907-914. DOI: 10.1109/12.83636 |
0.282 |
|
1988 |
Faloutsos C. Signature files: An integrated access method for text and attributes, suitable for optical disk storage Bit. 28: 736-754. DOI: 10.1007/Bf01954894 |
0.281 |
|
1997 |
Kobla V, Doermann DS, Lin K, Faloutsos C. Compressed-domain video indexing techniques using DCT and motion vector information in MPEG video Storage and Retrieval For Image and Video Databases. 3022: 200-211. DOI: 10.1117/12.263408 |
0.278 |
|
2016 |
Kim SH, Li L, Faloutsos C, Yang HJ, Lee SW. HeartCast: Predicting acute hypotensive episodes in intensive care units Statistical Methodology. 33: 1-13. DOI: 10.1016/J.Stamet.2016.07.001 |
0.278 |
|
2015 |
Melo POSVD, Faloutsos C, Assunção R, Alves R, Loureiro AAF. Universal and Distinct Properties of Communication Dynamics Acm Transactions On Knowledge Discovery From Data. 9: 1-31. DOI: 10.1145/2700399 |
0.277 |
|
2017 |
Kim SH, Li L, Faloutsos C, Yang HJ, Lee SW. DAPs: Mining using change-point detection of epileptic activity time series data Journal of Information Science and Engineering. 33: 517-536. DOI: 10.1688/Jise.2017.33.2.14 |
0.276 |
|
2019 |
Leeuwen Mv, Chau P, Vreeken J, Shahaf D, Faloutsos C. Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12, Iss. 1): Introduction by the Guest Editors Acm Transactions On Knowledge Discovery From Data. 13: 13. DOI: 10.1145/3298786 |
0.276 |
|
2001 |
Riedel E, Faloutsos C, Gibson GA, Nagle D. Active disks for large-scale data processing Computer. 34: 68-74. DOI: 10.1109/2.928624 |
0.275 |
|
2010 |
Akoglu L, McGlohon M, Faloutsos C. OddBall: Spotting anomalies in weighted graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6119: 410-421. DOI: 10.1007/978-3-642-13672-6_40 |
0.275 |
|
2012 |
Prakash BA, Faloutsos C. Understanding and managing cascades on large graphs Proceedings of the Vldb Endowment. 5: 2024-2025. DOI: 10.14778/2367502.2367567 |
0.274 |
|
2001 |
Montgomery A, Faloutsos C. Identifying Web browsing trends and patterns Computer. 34: 94-95. DOI: 10.1109/2.933515 |
0.273 |
|
1997 |
Faloutsos C, Jagadish HV, Mendelzon AO, Milo T. Signature technique for similarity-based queries Proceedings of the International Conference On Compression and Complexity of Sequences. 2-20. DOI: 10.1109/Sequen.1997.666899 |
0.273 |
|
1988 |
Faloutsos C. Gray codes for partial match and range queries Ieee Transactions On Software Engineering. 14: 1381-1393. DOI: 10.1109/32.6184 |
0.273 |
|
2015 |
Beutel A, Akoglu L, Faloutsos C. Graph-based user behavior modeling: From prediction to fraud detection Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 2309-2310. DOI: 10.1145/2783258.2789985 |
0.272 |
|
2010 |
Puniyani K, Faloutsos C, Xing EP. SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images. Bioinformatics (Oxford, England). 26: i47-56. PMID 20529936 DOI: 10.1093/Bioinformatics/Btq172 |
0.27 |
|
2009 |
Du N, Faloutsos C, Wang B, Akoglu L. Large human communication networks: Patterns and a utility-driven generator Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 269-277. DOI: 10.1145/1557019.1557054 |
0.27 |
|
1987 |
Faloutsos C, Christodoulakis S. Optimal signature extraction and information loss Acm Transactions On Database Systems. 12: 395-428. DOI: 10.1145/27629.214285 |
0.269 |
|
1990 |
Manolopoulos Y, Faloutsos C. Analysis for the end of block wasted space Bit. 30: 620-630. DOI: 10.1007/Bf01933210 |
0.268 |
|
2006 |
Chakrabarti D, Faloutsos C. Graph Patterns and the R-Mat Generator Mining Graph Data. 65-95. DOI: 10.1002/9780470073049.ch4 |
0.263 |
|
1991 |
Roussopoulos N, Sellis T, Faloutsos C, Mark L. An Architecture for High Performance Engineering Information Systems Ieee Transactions On Software Engineering. 17: 22-33. DOI: 10.1109/32.67576 |
0.259 |
|
2016 |
Jiang M, Cui P, Faloutsos C. Suspicious Behavior Detection: Current Trends and Future Directions Ieee Intelligent Systems. 31: 31-39. DOI: 10.1109/Mis.2016.5 |
0.257 |
|
2008 |
Seshadri M, MacHiraju S, Sridharan A, Bolot J, Faloutsos C, Leskove J. Mobile call graphs: Beyond power-law and lognormal distributions Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 596-604. DOI: 10.1145/1401890.1401963 |
0.257 |
|
2002 |
Adibi J, Faloutsos C. KDD-2002 workshop report fractals and self-similarity in data mining Acm Sigkdd Explorations Newsletter. 4: 115-117. DOI: 10.1145/772862.772885 |
0.257 |
|
2008 |
Qi Y, Balem F, Faloutsos C, Klein-Seetharaman J, Bar-Joseph Z. Protein complex identification by supervised graph local clustering. Bioinformatics (Oxford, England). 24: i250-8. PMID 18586722 DOI: 10.1093/bioinformatics/btn164 |
0.256 |
|
2013 |
Kim SH, Faloutsos C, Yang HJ. Coercively adjusted auto regression model for forecasting in epilepsy EEG. Computational and Mathematical Methods in Medicine. 2013: 545613. PMID 23710252 DOI: 10.1155/2013/545613 |
0.255 |
|
2015 |
Beutel A, Akoglu L, Faloutsos C. Fraud detection through graph-based user behavior modeling Proceedings of the Acm Conference On Computer and Communications Security. 2015: 1696-1697. DOI: 10.1145/2810103.2812702 |
0.254 |
|
2008 |
Gallagher B, Tong H, Eliassi-Rad T, Faloutsos C. Using ghost edges for classification in sparsely labeled networks Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 256-264. DOI: 10.1145/1401890.1401925 |
0.25 |
|
2016 |
Kim SH, Faloutsos C, Yang HJ, Lee SW. Parameter pattern discovery in nonlinear dynamic model for EEGs analysis. Journal of Integrative Neuroscience. 1-22. PMID 27774837 DOI: 10.1142/S0219635216500242 |
0.245 |
|
2014 |
Mao HH, Wu CJ, Papalexakis EE, Faloutsos C, Lee KC, Kao TC. MalSpot: Multi2 malicious network behavior patterns analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8443: 1-14. DOI: 10.1007/978-3-319-06608-0_1 |
0.245 |
|
1999 |
Thrun S, Faloutsos C, Mitchell TM, Wasserman LA. Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field Ai Magazine. 20: 78-82. DOI: 10.1609/Aimag.V20I3.1468 |
0.244 |
|
2016 |
Papalexakis EE, Faloutsos C. Unsupervised Tensor Mining for Big Data Practitioners. Big Data. 4: 179-191. PMID 27642720 DOI: 10.1089/big.2016.0026 |
0.243 |
|
2014 |
Lin Y, Raza AA, Lee JY, Koutra D, Rosenfeld R, Faloutsos C. Influence propagation: Patterns, model and a case study Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8443: 386-397. DOI: 10.1007/978-3-319-06608-0_32 |
0.243 |
|
2008 |
Margaritis D, Faloutsos C, Thrun S. NetCube: Fast, approximate database queries using bayesian networks Selected Readings On Database Technologies and Applications. 424-449. DOI: 10.4018/978-1-60566-098-1.ch023 |
0.241 |
|
2014 |
Araujo M, Papadimitriou S, Günnemann S, Faloutsos C, Basu P, Swami A, Papalexakis EE, Koutra D. Com2: Fast automatic discovery of temporal ('comet') communities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8444: 271-283. DOI: 10.1007/978-3-319-06605-9_23 |
0.241 |
|
2012 |
Akoglu L, Vaz De Melo POS, Faloutsos C. Quantifying reciprocity in large weighted communication networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7301: 85-96. DOI: 10.1007/978-3-642-30220-6_8 |
0.24 |
|
2003 |
Siganos G, Faloutsos M, Faloutsos P, Faloutsos C. Power laws and the as-level internet topology Ieee/Acm Transactions On Networking. 11: 514-524. DOI: 10.1109/Tnet.2003.815300 |
0.239 |
|
2020 |
Shin K, Hooi B, Kim J, Faloutsos C. Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining. Frontiers in Big Data. 3: 594302. PMID 33997776 DOI: 10.3389/fdata.2020.594302 |
0.238 |
|
2008 |
Razente HL, Barioni MCN, Traina AJM, Faloutsos C, Traina C. A novel optimization approach to efficiently process aggregate similarity queries in metric access methods International Conference On Information and Knowledge Management, Proceedings. 193-202. DOI: 10.1145/1458082.1458110 |
0.236 |
|
2011 |
Valler NC, Butkiewicz M, Prakash BA, Faloutsos M, Faloutsos C. Non-binary information propagation: Modeling BGP routing churn 2011 Ieee Conference On Computer Communications Workshops, Infocom Wkshps 2011. 900-905. DOI: 10.1109/INFCOMW.2011.5928940 |
0.233 |
|
2015 |
Ha J, Kim S, Kim S, Faloutsos C, Park S. An analysis on information diffusion through BlogCast in a blogosphere Information Sciences. 290: 45-62. DOI: 10.1016/J.Ins.2014.08.042 |
0.232 |
|
2017 |
Lee S, Faloutsos C, Chae D, Kim S. Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors Ieice Transactions On Information and Systems. 100: 2659-2663. DOI: 10.1587/Transinf.2017Edl8094 |
0.231 |
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2007 |
Chakrabarti D, Leskovec J, Faloutsos C, Madden S, Guestrin C, Faloutsos M. Information survival threshold in sensor and P2P networks Proceedings - Ieee Infocom. 1316-1324. DOI: 10.1109/INFCOM.2007.156 |
0.23 |
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2011 |
Cordeiro RLF, Traina C, Traina AJM, López J, Kang U, Faloutsos C. Clustering very large multi-dimensional datasets with MapReduce Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 690-698. DOI: 10.1145/2020408.2020516 |
0.23 |
|
2012 |
Shafer I, Ren K, Boddeti VN, Abe Y, Ganger GR, Faloutsos C. RainMon: An integrated approach to mining bursty timeseries monitoring data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1158-1166. DOI: 10.1145/2339530.2339711 |
0.227 |
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2015 |
Sakurai Y, Matsubara Y, Faloutsos C. Mining and forecasting of big time-series data Proceedings of the Acm Sigmod International Conference On Management of Data. 2015: 919-922. DOI: 10.1145/2723372.2731081 |
0.225 |
|
2013 |
Wei X, Valler NC, Faloutsos M, Neamtiu I, Prakash BA, Faloutsos C. Smartphone viruses propagation on heterogeneous composite networks Proceedings of the 2013 Ieee 2nd International Network Science Workshop, Nsw 2013. 106-109. DOI: 10.1109/NSW.2013.6609203 |
0.221 |
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2012 |
Papalexakis EE, Faloutsos C, Sidiropoulos ND. ParCube: Sparse parallelizable tensor decompositions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7523: 521-536. DOI: 10.1007/978-3-642-33460-3_39 |
0.221 |
|
2014 |
Matsubara Y, Sakurai Y, Faloutsos C. AutoPlait: Automatic mining of co-evolving time sequences Proceedings of the Acm Sigmod International Conference On Management of Data. 193-204. DOI: 10.1145/2588555.2588556 |
0.221 |
|
2016 |
Papalexakis EE, Pelechrinis K, Faloutsos C. Location based Social Network analysis using Tensors and Signal Processing tools 2015 Ieee 6th International Workshop On Computational Advances in Multi-Sensor Adaptive Processing, Camsap 2015. 93-96. DOI: 10.1109/CAMSAP.2015.7383744 |
0.22 |
|
2010 |
Akoglu L, Faloutsos C. ValuePick: Towards a value-oriented dual-goal recommender system Proceedings - Ieee International Conference On Data Mining, Icdm. 1151-1158. DOI: 10.1109/ICDMW.2010.68 |
0.211 |
|
2005 |
Wu X, Faloutsos C. Editorial: TKDE Topic Area Revisions Ieee Transactions On Knowledge and Data Engineering. 17: 731-733. DOI: 10.1109/Tkde.2005.94 |
0.21 |
|
2008 |
Li L, Fu W, Guo F, Mowry TC, Faloutsos C. Cut-and-stitch: Efficient parallel learning of linear dynamical systems on smps Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 471-479. DOI: 10.1145/1401890.1401949 |
0.204 |
|
2009 |
Prakash BA, Valler N, Andersen D, Faloutsos M, Faloutsos C. BGP-lens: Patterns and anomalies in internet routing updates Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1315-1323. DOI: 10.1145/1557019.1557160 |
0.204 |
|
2014 |
Beutel A, Kumar A, Papalexakis EE, Talukdar PP, Faloutsos C, Xing EP. FlexiFaCT: Scalable flexible factorization of coupled tensors on Hadoop Siam International Conference On Data Mining 2014, Sdm 2014. 1: 109-117. DOI: 10.1137/1.9781611973440.13 |
0.198 |
|
2003 |
Ailamaki A, Faloutsos C, Fischbeck PS, Small MJ, Vanbriesen J. An environmental sensor network to determine drinking water quality and security Sigmod Record. 32: 47-52. DOI: 10.1145/959060.959069 |
0.197 |
|
2014 |
Weng Y, Faloutsos C, Ilie MD, Negi R. Speed up of data-driven state estimation using low-complexity indexing method Ieee Power and Energy Society General Meeting. 2014. DOI: 10.1109/PESGM.2014.6938980 |
0.194 |
|
2013 |
Matsubara Y, Li L, Papalexakis E, Lo D, Sakurai Y, Faloutsos C. F-Trail: Finding patterns in taxi trajectories Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7818: 86-98. DOI: 10.1007/978-3-642-37453-1_8 |
0.193 |
|
2016 |
Jiang M, Beutel A, Cui P, Hooi B, Yang S, Faloutsos C. A general suspiciousness metric for dense blocks in multimodal data Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 781-786. DOI: 10.1109/ICDM.2015.61 |
0.19 |
|
2014 |
Juan DC, Li L, Peng HK, Marculescu D, Faloutsos C. Beyond poisson: Modeling inter-arrival time of requests in a datacenter Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8444: 198-209. DOI: 10.1007/978-3-319-06605-9_17 |
0.188 |
|
2010 |
Cordeiro RLF, Traina AJM, Faloutsos C, Traina C. Finding clusters in subspaces of very large, multi-dimensional datasets Proceedings - International Conference On Data Engineering. 625-636. DOI: 10.1109/ICDE.2010.5447924 |
0.185 |
|
2015 |
Costa AF, Yamaguchi Y, Traina AJM, Traina C, Faloutsos C. RSC: Mining and modeling temporal activity in social media Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 269-278. DOI: 10.1145/2783258.2783294 |
0.185 |
|
2013 |
Koutra D, Gong Y, Ryman S, Jung R, Vogelstein JT, Faloutsos C. Are all brains wired equally F1000research. 4. DOI: 10.7490/F1000Research.1094302.1 |
0.179 |
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2014 |
Matsubara Y, Sakurai Y, Van Panhuis WG, Faloutsos C. FUNNEL: Automatic mining of spatially coevolving epidemics Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 105-114. DOI: 10.1145/2623330.2623624 |
0.177 |
|
2004 |
Tao Y, Papadias D, Faloutsos C. Approximate temporal aggregation Proceedings - International Conference On Data Engineering. 20: 190-201. DOI: 10.1109/ICDE.2004.1319996 |
0.176 |
|
2014 |
Beutel A, Murray K, Faloutsos C, Smola AJ. CoBaFi - Collaborative Bayesian filtering Www 2014 - Proceedings of the 23rd International Conference On World Wide Web. 97-107. DOI: 10.1145/2566486.2568040 |
0.174 |
|
2000 |
Yi BK, Sidiropoulos ND, Johnson T, Jagadish HV, Faloutsos C, Biliris A. Online data mining for co-evolving time sequences Proceedings - International Conference On Data Engineering. 13-22. |
0.172 |
|
1998 |
Yi BK, Jagadish HV, Faloutsos C. Efficient retrieval of similar time sequences under time warping Proceedings - International Conference On Data Engineering. 201-208. |
0.172 |
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2007 |
Vieira MR, Traina C, Traina AJM, Arantes A, Faloutsos C. Boosting k-nearest neighbor queries estimating suitable query radii Proceedings of the International Conference On Scientific and Statistical Database Management, Ssdbm. DOI: 10.1109/SSDBM.2007.5 |
0.172 |
|
2015 |
Devineni P, Koutra D, Faloutsos M, Faloutsos C. If walls could talk: Patterns and anomalies in Facebook wallposts Proceedings of the 2015 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2015. 367-374. DOI: 10.1145/2808797.2808880 |
0.171 |
|
2014 |
Jiang M, Cui P, Beutel A, Faloutsos C, Yang S. Inferring strange behavior from connectivity pattern in social networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8443: 126-138. DOI: 10.1007/978-3-319-06608-0_11 |
0.169 |
|
2014 |
Sidiropoulos ND, Papalexakis EE, Faloutsos C. A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP) Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1-5. DOI: 10.1109/ICASSP.2014.6853546 |
0.169 |
|
2015 |
Giatsoglou M, Chatzakou D, Shah N, Beutel A, Faloutsos C, Vakali A. ND-SYNC: Detecting synchronized fraud activities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9078: 201-214. DOI: 10.1007/978-3-319-18032-8_16 |
0.168 |
|
2010 |
Vaz De Melo POS, Akoglu L, Faloutsos C, Loureiro AAF. Surprising patterns for the call duration distribution of mobile phone users Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6323: 354-369. DOI: 10.1007/978-3-642-15939-8_23 |
0.167 |
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2019 |
Wei T, Lee H, Jeng AB, Lamba H, Faloutsos C. WebHound: a data-driven intrusion detection from real-world web access logs Soft Computing. 23: 11947-11965. DOI: 10.1007/S00500-018-03750-1 |
0.166 |
|
2012 |
Wei X, Valler N, Prakash BA, Neamtiu I, Faloutsos M, Faloutsos C. Competing memes propagation on networks: A case study of composite networks Computer Communication Review. 42: 6-11. DOI: 10.1145/2378956.2378958 |
0.158 |
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2014 |
Papalexakis EE, Fyshe A, Sidiropoulos ND, Talukdar PP, Mitchell TM, Faloutsos C. Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data. 2: 216-29. PMID 27442756 DOI: 10.1089/big.2014.0044 |
0.151 |
|
2012 |
Beutel A, Prakash BA, Rosenfeld R, Faloutsos C. Interacting viruses in networks: Can both survive? Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 426-434. DOI: 10.1145/2339530.2339601 |
0.15 |
|
1994 |
Lin KI, Jagadish HV, Faloutsos C. The TV-tree: An index structure for high-dimensional data The Vldb Journal. 3: 517-542. DOI: 10.1007/BF01231606 |
0.15 |
|
2016 |
Jeon I, Papalexakis EE, Faloutsos C, Sael L, Kang U. Mining billion-scale tensors: algorithms and discoveries The Vldb Journal. 25: 519-544. DOI: 10.1007/s00778-016-0427-4 |
0.142 |
|
2016 |
Hooi B, Song HA, Papalexakis E, Agrawal R, Faloutsos C. Education, Learning and Information Theory Proceedings - 15th Ieee International Conference On Data Mining Workshop, Icdmw 2015. 269-272. DOI: 10.1109/ICDMW.2015.201 |
0.142 |
|
2013 |
Movshovitz-Attias D, Movshovitz-Attias Y, Steenkiste P, Faloutsos C. Analysis of the reputation system and user contributions on a question answering website: StackOverflow Proceedings of the 2013 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2013. 886-893. DOI: 10.1145/2492517.2500242 |
0.139 |
|
2016 |
Jiang M, Faloutsos C, Han J. CatchTartan: Representing and summarizing dynamic multicontextual behaviors Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 13: 945-954. DOI: 10.1145/2939672.2939749 |
0.138 |
|
2000 |
Korn F, Labrinidis A, Kotidis Y, Faloutsos C. Quantifiable data mining using ratio rules The Vldb Journal the International Journal On Very Large Data Bases. 8: 254-266. DOI: 10.1007/s007780050007 |
0.137 |
|
2020 |
Yang F, Almutairi FM, Song HA, Faloutsos C, Sidiropoulos ND, Zadorozhny V. TurboLift: fast accuracy lifting for historical data recovery The Vldb Journal. 29: 1129-1148. DOI: 10.1007/s00778-020-00609-6 |
0.136 |
|
1988 |
Sellis T, Roussopoulos N, Mark L, Faloutsos C. Expert database systems: Efficient support for engineering environments Data and Knowledge Engineering. 3: 71-85. DOI: 10.1016/0169-023X(88)90007-9 |
0.136 |
|
2000 |
Riedel E, Faloutsos C, Ganger GR, Nagle DF. Data mining on an OLTP system (nearly) for free Sigmod Record (Acm Special Interest Group On Management of Data). 29: 13-21. DOI: 10.1145/335191.335375 |
0.134 |
|
2023 |
Shekhar S, Eswaran D, Hooi B, Elmer J, Faloutsos C, Akoglu L. Benefit-aware early prediction of health outcomes on multivariate EEG time series. Journal of Biomedical Informatics. 139: 104296. PMID 36736937 DOI: 10.1016/j.jbi.2023.104296 |
0.133 |
|
2013 |
Berlingerio M, Koutra D, Eliassi-Rad T, Faloutsos C. Network similarity via multiple social theories Proceedings of the 2013 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2013. 1439-1440. DOI: 10.1145/2492517.2492582 |
0.132 |
|
2014 |
Figueiredo F, Almeida JM, Matsubara Y, Ribeiro B, Faloutsos C. Revisit behavior in social media: The Phoenix-R model and discoveries Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8724: 386-401. DOI: 10.1007/978-3-662-44848-9_25 |
0.131 |
|
2012 |
Akoglu L, Tong H, Vreeken J, Faloutsos C. Fast and reliable anomaly detection in categorical data Acm International Conference Proceeding Series. 415-424. DOI: 10.1145/2396761.2396816 |
0.125 |
|
2018 |
Almutairi FM, Yang F, Song HA, Faloutsos C, Sidiropoulos N, Zadorozhny V. Homerun Proceedings of the Vldb Endowment. 11: 1496-1508. DOI: 10.14778/3236187.3236201 |
0.12 |
|
2017 |
Eswaran D, Günnemann S, Faloutsos C, Makhija D, Kumar M. ZooBP Proceedings of the Vldb Endowment. 10: 625-636. DOI: 10.14778/3055540.3055554 |
0.12 |
|
2006 |
Traina C, Filho RFS, Traina AJM, Vieira MR, Faloutsos C. The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient The Vldb Journal. 16: 483-505. DOI: 10.1007/s00778-005-0178-0 |
0.118 |
|
1994 |
Faloutsos C, Barber R, Flickner M, Hafner J, Niblack W, Petkovic D, Equitz W. Efficient and effective Querying by Image Content Journal of Intelligent Information Systems. 3: 231-262. DOI: 10.1007/BF00962238 |
0.116 |
|
2006 |
Ho W, Smailagic A, Siewiorek DP, Faloutsos C. An adaptive two-phase approach to WiFi location sensing Proceedings - Fourth Annual Ieee International Conference On Pervasive Computing and Communications Workshops, Percom Workshops 2006. 2006: 452-456. DOI: 10.1109/PERCOMW.2006.18 |
0.114 |
|
2004 |
Papadimitriou S, Brockwell A, Faloutsos C. Adaptive, unsupervised stream mining Vldb Journal. 13: 222-239. DOI: 10.1007/s00778-004-0130-8 |
0.102 |
|
2005 |
Papadimitriou S, Väisänen RA, Gionis A, Mannila H, Tsaparas P, Faloutsos C. Parameter-free spatial data mining using MDL Proceedings - Ieee International Conference On Data Mining, Icdm. 346-353. DOI: 10.1109/ICDM.2005.117 |
0.1 |
|
1985 |
Faloutsos C. Access methods for text Acm Computing Surveys. 17: 49-74. DOI: 10.1145/4078.4080 |
0.097 |
|
2014 |
Papalexakis EE, Faloutsos C, Mitchell TM, Talukdar PP, Sidiropoulos ND, Murphy B. Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200×. Proceedings of the ... Siam International Conference On Data Mining. Siam International Conference On Data Mining. 2014: 118-126. PMID 26473087 DOI: 10.1137/1.9781611973440.14 |
0.096 |
|
2006 |
Sun J, Hoke E, Strunk JD, Ganger GR, Faloutsos C. Intelligent system monitoring on large clusters 3rd International Workshop On Data Management in Sensor Networks, Dmsn'06, in Conjunction With Very Large Data Bases, Vldb 2006. 47-52. DOI: 10.1145/1315903.1315914 |
0.095 |
|
2014 |
Papalexakis EE, Fyshe A, Sidiropoulos ND, Talukdar PP, Mitchell TM, Faloutsos C. Good-enough brain model: Challenges, algorithms and discoveries in multi-subject experiments Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 95-104. DOI: 10.1145/2623330.2623639 |
0.086 |
|
1990 |
Faloutsos C, Lee R, Plaisant C, Shneiderman B. Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues Hypermedia. 2: 183-200. DOI: 10.1080/09558543.1990.12031182 |
0.083 |
|
2010 |
Li L, Prakash BA, Faloutsos C. Parsimonious linear fingerprinting for time series Proceedings of the Vldb Endowment. 3: 385-396. DOI: 10.14778/1920841.1920893 |
0.083 |
|
1985 |
Faloutsos C. Signature files Acm Sigmod Record. 14: 63-82. DOI: 10.1145/971699.318903 |
0.079 |
|
1984 |
Faloutsos C, Christodoulakis S. Signature files Acm Transactions On Information Systems. 2: 267-288. DOI: 10.1145/2275.357411 |
0.079 |
|
2018 |
Faloutsos C, Gasthaus J, Januschowski T, Wang Y. Forecasting big time series Proceedings of the Vldb Endowment. 11: 2102-2105. DOI: 10.14778/3229863.3229878 |
0.076 |
|
2005 |
Murphy RF, Faloutsos C. Research issues in protein location image databases Proceedings of the Acm Sigmod International Conference On Management of Data. 966-967. DOI: 10.1145/1066157.1066307 |
0.074 |
|
2004 |
Wang M, Au K, Ailamaki A, Brockwell A, Faloutsos C, Ganger GR. Storage device performance prediction with CART models Proceedings - Ieee Computer Society's Annual International Symposium On Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, Mascots. 588-595. DOI: 10.1109/MASCOT.2004.1348316 |
0.072 |
|
2010 |
Zhu C, Kitagawa H, Papadimitriou S, Faloutsos C. Outlier detection by example Journal of Intelligent Information Systems. 36: 217-247. DOI: 10.1007/s10844-010-0128-1 |
0.071 |
|
2012 |
Metwally A, Faloutsos C. V-SMART-join Proceedings of the Vldb Endowment. 5: 704-715. DOI: 10.14778/2212351.2212353 |
0.07 |
|
2015 |
Jeon I, Papalexakis EE, Kang U, Faloutsos C. HaTen2: Billion-scale tensor decompositions Proceedings - International Conference On Data Engineering. 2015: 1047-1058. DOI: 10.1109/ICDE.2015.7113355 |
0.069 |
|
2017 |
Costa AF, Yamaguchi Y, Traina AJM, Jr. CT, Faloutsos C. Modeling Temporal Activity to Detect Anomalous Behavior in Social Media Acm Transactions On Knowledge Discovery From Data. 11: 1-23. DOI: 10.1145/3064884 |
0.063 |
|
1989 |
Lin C, Mark L, Sellis T, Faloutsos C. Performance issues in the binary relationship model Data & Knowledge Engineering. 4: 195-221. DOI: 10.1016/0169-023X(89)90020-7 |
0.049 |
|
1998 |
Triantafillou P, Faloutsos C. Overlay striping and optimal parallel I/O for modern applications Parallel Computing. 24: 21-43. DOI: 10.1016/S0167-8191(97)00115-4 |
0.045 |
|
2000 |
Faloutsos C, Seeger B, Traina A, Traina C. Spatial join selectivity using power laws Acm Sigmod Record. 29: 177-188. DOI: 10.1145/335191.335412 |
0.039 |
|
2007 |
Clifton C, Xindong W, Faloutsos C. TKDE guidelines for survey papers Ieee Transactions On Knowledge and Data Engineering. 19: 1449. DOI: 10.1109/Tkde.2007.190685 |
0.039 |
|
2015 |
Matsubara Y, Sakurai Y, Faloutsos C. The Web as a jungle: Non-linear dynamical systems for co-evolving online activities Www 2015 - Proceedings of the 24th International Conference On World Wide Web. 721-731. DOI: 10.1145/2736277.2741092 |
0.037 |
|
2015 |
Gatterbauer W, Günnemann S, Koutra D, Faloutsos C. Linearized and single-pass belief propagation Proceedings of the Vldb Endowment. 8: 581-592. DOI: 10.14778/2735479.2735490 |
0.031 |
|
2017 |
Zhang T, Cui P, Faloutsos C, Lu Y, Ye H, Zhu W, Yang S. come
N
go Acm Transactions On Knowledge Discovery From Data. 11: 1-22. DOI: 10.1145/3059214 |
0.013 |
|
2000 |
Palmer CR, Faloutsos C. Density biased sampling Acm Sigmod Record. 29: 82-92. DOI: 10.1145/335191.335384 |
0.013 |
|
2015 |
Koutra D, Jin D, Ning Y, Faloutsos C. Perseus Proceedings of the Vldb Endowment. 8: 1924-1927. DOI: 10.14778/2824032.2824102 |
0.01 |
|
2008 |
Guo F, Li L, Faloutsos C, Xing EP. C-DEM Proceedings of the Vldb Endowment. 1: 1508-1511. DOI: 10.14778/1454159.1454214 |
0.01 |
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