Year |
Citation |
Score |
2022 |
Ryu T, Kim H, Lee C, Kim H, Vo B, Lin JC, Pedrycz W, Yun U. Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining. Ieee Transactions On Cybernetics. PMID 36044507 DOI: 10.1109/TCYB.2022.3198661 |
0.413 |
|
2022 |
Kim H, Ryu T, Lee C, Kim H, Truong T, Fournier-Viger P, Pedrycz W, Yun U. Mining high occupancy patterns to analyze incremental data in intelligent systems. Isa Transactions. PMID 35636986 DOI: 10.1016/j.isatra.2022.05.003 |
0.445 |
|
2021 |
Kim H, Yun U, Baek Y, Kim J, Vo B, Yoon E, Fujita H. Efficient List based Mining of High Average Utility Patterns with Maximum Average Pruning Strategies Information Sciences. 543: 85-105. DOI: 10.1016/J.Ins.2020.07.043 |
0.548 |
|
2020 |
Mai T, Nguyen LTT, Vo B, Yun U, Hong TP. Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules. Sensors (Basel, Switzerland). 20. PMID 32079200 DOI: 10.3390/S20041078 |
0.43 |
|
2020 |
Wu JM, Teng Q, Lin JC, Yun U, Chen H. Updating high average-utility itemsets with pre-large concept Journal of Intelligent and Fuzzy Systems. 38: 5831-5840. DOI: 10.3233/Jifs-179670 |
0.317 |
|
2020 |
Wu T, Lin JC, Yun U, Chen C, Srivastava G, Lv X. An efficient algorithm for fuzzy frequent itemset mining Journal of Intelligent and Fuzzy Systems. 38: 5787-5797. DOI: 10.3233/Jifs-179666 |
0.379 |
|
2020 |
Baek Y, Yun U, Yoon E, Fournier-Viger P. Uncertainty-Based Pattern Mining for Maximizing Profit of Manufacturing Plants With List Structure Ieee Transactions On Industrial Electronics. 67: 9914-9926. DOI: 10.1109/Tie.2019.2956387 |
0.456 |
|
2020 |
Srivastava G, Lin JC, Pirouz M, Li Y, Yun U. A Pre-large Weighted-Fusion System of Sensed High-Utility Patterns Ieee Sensors Journal. 1-1. DOI: 10.1109/Jsen.2020.2991045 |
0.506 |
|
2020 |
Vo B, Nguyen LTT, Nguyen TDD, Fournier-Viger P, Yun U. A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases Ieee Access. 8: 85890-85899. DOI: 10.1109/Access.2020.2992729 |
0.44 |
|
2020 |
Nam H, Yun U, Vo B, Truong TC, Deng Z, Yoon E. Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure Ieee Access. 8: 50958-50968. DOI: 10.1109/Access.2020.2979289 |
0.435 |
|
2020 |
Lin JC, Shao Y, Zhang J, Yun U. Enhanced sequence labeling based on latent variable conditional random fields Neurocomputing. 403: 431-440. DOI: 10.1016/J.Neucom.2020.04.102 |
0.302 |
|
2020 |
Nam H, Yun U, Yoon E, Lin JCW. Efficient approach of recent high utility stream pattern mining with indexed list structure and pruning strategy considering arrival times of transactions Information Sciences. 529: 1-27. DOI: 10.1016/J.Ins.2020.03.030 |
0.518 |
|
2020 |
Kim J, Yun U, Yoon E, Lin JC, Fournier-Viger P. One scan based high average-utility pattern mining in static and dynamic databases Future Generation Computer Systems. 111: 143-158. DOI: 10.1016/J.Future.2020.04.027 |
0.52 |
|
2020 |
Huynh HM, Nguyen LTT, Vo B, Yun U, Oplatková ZK, Hong T. Efficient algorithms for mining clickstream patterns using pseudo-IDLists Future Generation Computer Systems. 107: 18-30. DOI: 10.1016/J.Future.2020.01.034 |
0.572 |
|
2020 |
Yun U, Nam H, Kim J, Kim H, Baek Y, Lee J, Yoon E, Truong TC, Vo B, Pedrycz W. Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases Future Generation Computer Systems. 103: 58-78. DOI: 10.1016/J.Future.2019.09.024 |
0.509 |
|
2020 |
Nam H, Yun U, Yoon E, Lin JC. Efficient approach for incremental weighted erasable pattern mining with list structure Expert Systems With Applications. 143: 113087. DOI: 10.1016/J.Eswa.2019.113087 |
0.59 |
|
2020 |
Baek Y, Yun U, Kim H, Nam H, Lee G, Yoon E, Vo B, Lin JC. Erasable pattern mining based on tree structures with damped window over data streams Engineering Applications of Artificial Intelligence. 94: 103735. DOI: 10.1016/J.Engappai.2020.103735 |
0.519 |
|
2020 |
Fournier‐Viger P, He G, Cheng C, Li J, Zhou M, Lin JC, Yun U. A survey of pattern mining in dynamic graphs Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. DOI: 10.1002/Widm.1372 |
0.386 |
|
2020 |
Baek Y, Yun U, Lin JC, Yoon E, Fujita H. Efficiently mining erasable stream patterns for intelligent systems over uncertain data International Journal of Intelligent Systems. DOI: 10.1002/Int.22269 |
0.418 |
|
2019 |
Yoon E, Kim S, Kwon S, Yun U. An Efficient Index Mapping Algorithm for OFDM-Index Modulation Ieee Access. 7: 184194-184206. DOI: 10.1109/Access.2019.2960572 |
0.359 |
|
2019 |
Truong TC, Duong HV, Le B, Fournier-Viger P, Yun U. Efficient high average-utility itemset mining using novel vertical weak upper-bounds Knowledge Based Systems. 183: 104847. DOI: 10.1016/J.Knosys.2019.07.018 |
0.464 |
|
2019 |
Yun U, Lee G, Yoon E. Advanced approach of sliding window based erasable pattern mining with list structure of industrial fields Information Sciences. 494: 37-59. DOI: 10.1016/J.Ins.2019.04.050 |
0.54 |
|
2019 |
Yun U, Nam H, Lee G, Yoon E. Efficient approach for incremental high utility pattern mining with indexed list structure Future Generation Computer Systems. 95: 221-239. DOI: 10.1016/J.Future.2018.12.029 |
0.562 |
|
2018 |
Lee G, Yun U. Single-pass based efficient erasable pattern mining using list data structure on dynamic incremental databases Future Generation Computer Systems. 80: 12-28. DOI: 10.1016/J.Future.2017.07.035 |
0.52 |
|
2018 |
Lee J, Yun U, Lee G, Yoon E. Efficient incremental high utility pattern mining based on pre-large concept Engineering Applications of Artificial Intelligence. 72: 111-123. DOI: 10.1016/J.Engappai.2018.03.020 |
0.487 |
|
2017 |
Yun U, EunMi Y. Design and Implementation of a friendly maze program for early childhood based on a path searching algorithm Journal of the Korea Society of Computer and Information. 22: 49-55. DOI: 10.9708/Jksci.2017.22.06.049 |
0.32 |
|
2017 |
Lee J, Yun U, Lee G. Analyzing of incremental high utility pattern mining based on tree structures Human-Centric Computing and Information Sciences. 7: 1-9. DOI: 10.1186/S13673-017-0112-7 |
0.557 |
|
2017 |
Lee G, Yun U, Ryu KH. Mining Frequent Weighted Itemsets without Storing Transaction IDs and Generating Candidates International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 25: 111-144. DOI: 10.1142/S0218488517500052 |
0.48 |
|
2017 |
Yun U, Lee G, Yoon E. Efficient High Utility Pattern Mining for Establishing Manufacturing Plans With Sliding Window Control Ieee Transactions On Industrial Electronics. 64: 7239-7249. DOI: 10.1109/Tie.2017.2682782 |
0.512 |
|
2017 |
Yun U, Kim D, Yoon E, Fujita H. Damped window based high average utility pattern mining over data streams Knowledge Based Systems. 144: 188-205. DOI: 10.1016/J.Knosys.2017.12.029 |
0.544 |
|
2017 |
Yun U, Ryang H, Lee G, Fujita H. An efficient algorithm for mining high utility patterns from incremental databases with one database scan Knowledge Based Systems. 124: 188-206. DOI: 10.1016/J.Knosys.2017.03.016 |
0.562 |
|
2017 |
Yun U, Kim D. Mining of high average-utility itemsets using novel list structure and pruning strategy Future Generation Computer Systems. 68: 346-360. DOI: 10.1016/J.Future.2016.10.027 |
0.461 |
|
2017 |
Lee G, Yun U. A new efficient approach for mining uncertain frequent patterns using minimum data structure without false positives Future Generation Computer Systems. 68: 89-110. DOI: 10.1016/J.Future.2016.09.007 |
0.524 |
|
2017 |
Kim D, Yun U. Efficient algorithm for mining high average-utility itemsets in incremental transaction databases Applied Intelligence. 47: 114-131. DOI: 10.1007/S10489-016-0890-Z |
0.492 |
|
2017 |
Ryang H, Yun U. Indexed list-based high utility pattern mining with utility upper-bound reduction and pattern combination techniques Knowledge and Information Systems. 51: 627-659. DOI: 10.1007/S10115-016-0989-X |
0.582 |
|
2016 |
Yun U, Lee G, Kim CH. The smallest valid extension-based efficient, rare graph pattern mining, considering length-decreasing support constraints and symmetry characteristics of graphs Symmetry. 8. DOI: 10.3390/Sym8050032 |
0.429 |
|
2016 |
Yun U, Kim D, Ryang H, Lee G, Lee KM. Mining recent high average utility patterns based on sliding window from stream data Journal of Intelligent and Fuzzy Systems. 30: 3605-3617. DOI: 10.3233/Ifs-162106 |
0.57 |
|
2016 |
Ryang H, Yun U, Lee G, Kim D. A Generation Method of Vehicle Data Based on Incremental State Changes Advanced Science Letters. 22: 2300-2304. DOI: 10.1166/Asl.2016.7852 |
0.301 |
|
2016 |
Ryang H, Yun U, Lee G, Shin D. Analysis of Methods for High Utility Pattern Mining without any Threshold Setting Advanced Science Letters. 22: 2268-2274. DOI: 10.1166/Asl.2016.7826 |
0.425 |
|
2016 |
Kim D, Yun U, Ryang H. Transaction Database Modification Approaches for Achieving Privacy Preserving in High Utility Itemset Mining Advanced Science Letters. 22: 2485-2490. DOI: 10.1166/Asl.2016.7823 |
0.357 |
|
2016 |
Lee G, Yun U, Kim D. A Weight-Based Approach: Frequent Graph Pattern Mining with Length-Decreasing Support Constraints Using Weighted Smallest Valid Extension Advanced Science Letters. 22: 2480-2484. DOI: 10.1166/Asl.2016.7821 |
0.525 |
|
2016 |
Lee G, Yun U, Ryang H, Kim D. Approximate Maximal Frequent Pattern Mining with Weight Conditions and Error Tolerance International Journal of Pattern Recognition and Artificial Intelligence. 30. DOI: 10.1142/S0218001416500129 |
0.567 |
|
2016 |
Yun U, Lee G, Lee KM. Efficient representative pattern mining based on weight and maximality conditions Expert Systems. DOI: 10.1111/Exsy.12158 |
0.635 |
|
2016 |
Yun U, Lee G. Sliding window based weighted erasable stream pattern mining for stream data applications Future Generation Computer Systems. 59: 1-20. DOI: 10.1016/J.Future.2015.12.012 |
0.61 |
|
2016 |
Ryang H, Yun U. High utility pattern mining over data streams with sliding window technique Expert Systems With Applications. 57: 214-231. DOI: 10.1016/J.Eswa.2016.03.001 |
0.535 |
|
2016 |
Yun U, Lee G. Incremental mining of weighted maximal frequent itemsets from dynamic databases Expert Systems With Applications. 54: 304-327. DOI: 10.1016/J.Eswa.2016.01.049 |
0.569 |
|
2016 |
Lee G, Yun U, Ryang H, Kim D. Erasable itemset mining over incremental databases with weight conditions Engineering Applications of Artificial Intelligence. 52: 213-234. DOI: 10.1016/J.Engappai.2016.03.003 |
0.535 |
|
2016 |
Lee G, Yun U, Lee KM. Analysis of tree-based uncertain frequent pattern mining techniques without pattern losses Journal of Supercomputing. 1-23. DOI: 10.1007/S11227-016-1847-Z |
0.538 |
|
2016 |
Kim D, Yun U. Efficient mining of high utility pattern with considering of rarity and length Applied Intelligence. 45: 152-173. DOI: 10.1007/S10489-015-0750-2 |
0.583 |
|
2016 |
Ryang H, Yun U, Ryu KH. Fast algorithm for high utility pattern mining with the sum of item quantities Intelligent Data Analysis. 20: 395-415. DOI: 10..3233/IDA-160811 |
0.481 |
|
2015 |
Lee G, Yun U, Ryang H, Kim D. Multiple minimum support-based rare graph pattern mining considering symmetry feature-based growth technique and the differing importance of graph elements Symmetry. 7: 1151-1163. DOI: 10.3390/Sym7031151 |
0.42 |
|
2015 |
Lee G, Yun U, Ryang H. Mining weighted erasable patterns by using underestimated constraint-based pruning technique Journal of Intelligent and Fuzzy Systems. 28: 1145-1157. DOI: 10.3233/Ifs-141398 |
0.605 |
|
2015 |
Yun U, Pyun G, Yoon E. Efficient mining of robust closed weighted sequential patterns without information loss International Journal On Artificial Intelligence Tools. 24. DOI: 10.1142/S0218213015500074 |
0.585 |
|
2015 |
Lee G, Yun U, Ryang H. An uncertainty-based approach: Frequent itemset mining from uncertain data with different item importance Knowledge-Based Systems. 90: 239-256. DOI: 10.1016/J.Knosys.2015.08.018 |
0.524 |
|
2015 |
Ryang H, Yun U. Top-k high utility pattern mining with effective threshold raising strategies Knowledge-Based Systems. 76: 109-126. DOI: 10.1016/J.Knosys.2014.12.010 |
0.488 |
|
2015 |
Yun U, Kim J. A fast perturbation algorithm using tree structure for privacy preserving utility mining Expert Systems With Applications. 42: 1149-1165. DOI: 10.1016/J.Eswa.2014.08.037 |
0.495 |
|
2015 |
Jin CH, Pok G, Lee Y, Park HW, Kim KD, Yun U, Ryu KH. A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting Energy Conversion and Management. 90: 84-92. DOI: 10.1016/J.Enconman.2014.11.010 |
0.355 |
|
2015 |
Kim J, Yun U, Pyun G, Ryang H, Lee G, Yoon E, Ryu KH. A blog ranking algorithm using analysis of both blog influence and characteristics of blog posts Cluster Computing. 18: 157-164. DOI: 10.1007/S10586-013-0337-9 |
0.458 |
|
2015 |
Yun U, Ryang H. Incremental high utility pattern mining with static and dynamic databases Applied Intelligence. 42: 323-352. DOI: 10.1007/S10489-014-0601-6 |
0.556 |
|
2015 |
Yun U, Lee G, Pyun G. Correlated blog-page retrieval with structural characteristics Lecture Notes in Electrical Engineering. 330: 191-196. DOI: 10.1007/978-3-662-45402-2_28 |
0.326 |
|
2015 |
Lee G, Yun U. Mining frequent graph patterns considering both different importance and rarity of graph elements Lecture Notes in Electrical Engineering. 330: 179-184. DOI: 10.1007/978-3-662-45402-2_26 |
0.311 |
|
2014 |
Yun U, Yoon E. An efficient approach for mining weighted approximate closed frequent patterns considering noise constraints International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 22: 879-912. DOI: 10.1142/S0218488514500470 |
0.596 |
|
2014 |
Pyun G, Yun U, Ryu KH. Efficient frequent pattern mining based on Linear Prefix tree Knowledge-Based Systems. 55: 125-139. DOI: 10.1016/J.Knosys.2013.10.013 |
0.438 |
|
2014 |
Yun U, Lee G, Ryu KH. Mining maximal frequent patterns by considering weight conditions over data streams Knowledge-Based Systems. 55: 49-65. DOI: 10.1016/J.Knosys.2013.10.011 |
0.569 |
|
2014 |
Yun U, Ryang H, Ryu KH. High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates Expert Systems With Applications. 41: 3861-3878. DOI: 10.1016/J.Eswa.2013.11.038 |
0.47 |
|
2014 |
Lee G, Yun U, Ryu KH. Sliding window based weighted maximal frequent pattern mining over data streams Expert Systems With Applications. 41: 694-708. DOI: 10.1016/J.Eswa.2013.07.094 |
0.598 |
|
2014 |
Ryang H, Yun U, Pyun G, Lee G, Kim J. Ranking algorithm for book reviews with user tendency and collective intelligence Multimedia Tools and Applications. 74: 6209-6227. DOI: 10.1007/S11042-014-2101-4 |
0.358 |
|
2014 |
Pyun G, Yun U. Mining top-k frequent patterns with combination reducing techniques Applied Intelligence. 41: 76-98. DOI: 10.1007/S10489-013-0506-9 |
0.499 |
|
2014 |
Kim J, Yun U. The blog ranking algorithm using analysis of both blog influence and characteristics of blog posts Lecture Notes in Electrical Engineering. 274: 13-17. DOI: 10.1007/978-3-642-40675-1_3 |
0.349 |
|
2014 |
Ryang H, Yun U. Ranking book reviews based on user discussion Lecture Notes in Electrical Engineering. 274: 7-11. DOI: 10.1007/978-3-642-40675-1_2 |
0.316 |
|
2013 |
Yun U, Ryu KH. Efficient mining of maximal correlated weight frequent patterns Intelligent Data Analysis. 17: 917-939. DOI: 10.3233/IDA-130612 |
0.542 |
|
2013 |
Pyun G, Yun U. A frequent pattern mining technique for ranking webpages based on topics Lecture Notes in Electrical Engineering. 240: 121-128. DOI: 10.1007/978-94-007-6738-6_15 |
0.372 |
|
2013 |
Yun U, Pyun G, Kim SJ. Performance evaluation of approximate pattern mining based on probabilistic and statistical techniques Lecture Notes in Electrical Engineering. 215: 957-965. DOI: 10.1007/978-94-007-5860-5_115 |
0.451 |
|
2013 |
Yun U, Lee G, Kim SJ. Analyzing efficient algorithms of frequent pattern mining Lecture Notes in Electrical Engineering. 215: 937-945. DOI: 10.1007/978-94-007-5860-5_113 |
0.406 |
|
2013 |
Lee G, Yun U. Mining strongly correlated sub-graph patterns by considering weight and support constraints International Journal of Multimedia and Ubiquitous Engineering. 8: 197-206. |
0.35 |
|
2012 |
Munkhdalai T, Li M, Yun U, Namsrai OE, Ryu KH. An active co-training algorithm for biomedical named-entity recognition Journal of Information Processing Systems. 8: 575-588. DOI: 10.3745/Jips.2012.8.4.575 |
0.405 |
|
2012 |
Yun U, Shin H, Ryu KH, Yoon E. An efficient mining algorithm for maximal weighted frequent patterns in transactional databases Knowledge-Based Systems. 33: 53-64. DOI: 10.1016/J.Knosys.2012.02.002 |
0.613 |
|
2012 |
Lee G, Yun U. Mining weighted frequent sub-graphs with weight and support affinities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7694: 224-235. DOI: 10.1007/978-3-642-35455-7_21 |
0.375 |
|
2011 |
No Y, Yun U, Pyun G, Ryang H, Lee G, Ryu K, Lee K. An efficient approach of avoiding extensions of duplicated graph patterns in cyclic graph mining Journal of the Korea Society of Computer and Information. 16: 33-41. DOI: 10.9708/Jksci.2011.16.12.033 |
0.425 |
|
2011 |
Shin H, Yun U, Ryu K. The Topic-Rank Technique for Enhancing the Performance of Blog Retrieval Journal of the Korea Society of Computer and Information. 16: 19-29. DOI: 10.9708/Jksci.2011.16.1.019 |
0.377 |
|
2011 |
Yun U, Ryu KH, Yoon E. Weighted approximate sequential pattern mining within tolerance factors Intelligent Data Analysis. 15: 551-569. DOI: 10.3233/IDA-2011-0482 |
0.495 |
|
2011 |
Yun U, Ryu KH. Approximate weighted frequent pattern mining with/without noisy environments Knowledge-Based Systems. 24: 73-82. DOI: 10.1016/J.Knosys.2010.07.007 |
0.568 |
|
2011 |
Piao M, Lee JB, Shon HS, Yun U, Ryu KH. Enumeration tree based emerging patterns mining by using two different supports Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6935: 708-715. DOI: 10.1007/978-3-642-24082-9_86 |
0.325 |
|
2010 |
Shin H, Yun U, Ryu K. Efficient Blog Retrieval System by Topic-based Weighting Journal of the Korea Society of Computer and Information. 15: 1-9. DOI: 10.9708/Jksci.2010.15.4.001 |
0.455 |
|
2010 |
Dafa-Alla AFA, Shon HS, Saeed KEK, Piao M, Yun U, Cheoi KJ, Ryu KH. IMTAR: Incremental Mining of General Temporal Association Rules Journal of Information Processing Systems. 6: 163-176. DOI: 10.3745/Jips.2010.6.2.163 |
0.441 |
|
2010 |
Yun U, Ryu KH. Discovering important sequential patterns with length-decreasing weighted support constraints International Journal of Information Technology and Decision Making. 9: 575-599. DOI: 10.1142/S0219622010003968 |
0.586 |
|
2009 |
Yun U. On pushing weight constraints deeply into frequent itemset mining Intelligent Data Analysis. 13: 359-383. DOI: 10.3233/IDA-2009-0370 |
0.571 |
|
2009 |
Yun U. On identifying useful patterns to analyze products in retail transaction databases Ieice Transactions On Information and Systems. 2430-2438. DOI: 10.1587/Transinf.E92.D.2430 |
0.601 |
|
2008 |
Yun U. An efficient mining of weighted frequent patterns with length decreasing support constraints Knowledge-Based Systems. 21: 741-752. DOI: 10.1016/J.Knosys.2008.03.059 |
0.637 |
|
2008 |
Yun U. A new framework for detecting weighted sequential patterns in large sequence databases Knowledge-Based Systems. 21: 110-122. DOI: 10.1016/J.Knosys.2007.04.002 |
0.625 |
|
2007 |
Yun U. WIS: Weighted interesting sequential pattern mining with a similar level of support and/or weight Etri Journal. 29: 336-352. DOI: 10.4218/Etrij.07.0106.0067 |
0.604 |
|
2007 |
Yun U. Mining lossless closed frequent patterns with weight constraints Knowledge-Based Systems. 20: 86-97. DOI: 10.1016/J.Knosys.2006.07.007 |
0.619 |
|
2007 |
Yun U. Efficient mining of weighted interesting patterns with a strong weight and/or support affinity Information Sciences. 177: 3477-3499. DOI: 10.1016/J.Ins.2007.03.018 |
0.574 |
|
2007 |
Yun U. Analyzing sequential patterns in retail databases Journal of Computer Science and Technology. 22: 287-296. DOI: 10.1007/S11390-007-9036-4 |
0.599 |
|
2006 |
Yun U, Leggett JJ. WSpan: Weighted sequential pattern mining in large sequence databases Ieee Intelligent Systems. 512-517. DOI: 10.1109/IS.2006.348472 |
0.767 |
|
2006 |
Yun U, Leggett JJ, Ong T. Mining weighted sequential patterns based on length-decreasing support constraints Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3975: 650-651. DOI: 10.1007/11760146_74 |
0.746 |
|
2006 |
Yun U, Leggett JJ. WIP: Mining Weighted Interesting Patterns with a strong weight and/or support affinity Proceedings of the Sixth Siam International Conference On Data Mining. 2006: 624-628. |
0.745 |
|
2005 |
Ong T, Leggett JJ, Yun U. Visualizing hierarchies and collection structures with fractal trees Proceedings of the Mexican International Conference On Computer Science. 2005: 31-40. DOI: 10.1109/ENC.2005.53 |
0.62 |
|
2005 |
Yun U, Leggett JJ. Mining weighted support affinity patterns 18th International Conference On Computer Applications in Industry and Engineering 2005, Caine 2005. 232-237. |
0.767 |
|
2005 |
Yun U, Leggett JJ. WLPMiner: Weighted frequent pattern mining with length-decreasing support constraints Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3518: 555-567. |
0.769 |
|
2005 |
Yun U, Leggett JJ. WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 636-640. |
0.73 |
|
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