☰

Unil Yun, Ph.D. - Publications

Affiliations: 
2005 Texas A & M University, College Station, TX, United States 
Area:
Computer Science
Tree Info Similar researchers PubMed Report error

101 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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
Show low-probability matches.