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 |
|
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