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Won Suk Lee: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kil Hong Joo, Won Suk Lee
    An Incremental Document Clustering for the Large Document Database. [Citation Graph (0, 0)][DBLP]
    AIRS, 2005, pp:374-387 [Conf]
  2. Joong Hyuk Chang, Won Suk Lee
    estWin: adaptively monitoring the recent change of frequent itemsets over online data streams. [Citation Graph (0, 0)][DBLP]
    CIKM, 2003, pp:536-539 [Conf]
  3. Kil Hong Joo, Won Suk Lee
    Adaptive Materialization in a Hierarchical Mediator System. [Citation Graph (0, 0)][DBLP]
    ICPP Workshops, 2003, pp:281-288 [Conf]
  4. Nam Hun Park, Won Suk Lee
    A Statistical µ-Partitioning Method for Clustering Data Streams. [Citation Graph (0, 0)][DBLP]
    ISCIS, 2003, pp:292-299 [Conf]
  5. Sang-Hyun Oh, Jin-Suk Kang, Yung-Cheol Byun, Taikyeong T. Jeong, Won-Suk Lee
    Anomaly Intrusion Detection Based on Clustering a Data Stream. [Citation Graph (0, 0)][DBLP]
    ISC, 2006, pp:415-426 [Conf]
  6. Joong Hyuk Chang, Won Suk Lee
    Finding recent frequent itemsets adaptively over online data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:487-492 [Conf]
  7. Sang Hyun Oh, Won Suk Lee
    Optimized Clustering for Anomaly Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:576-581 [Conf]
  8. Sang Hyun Oh, Won Suk Lee
    Deductive Query Processing With an Objective-oriented Semantic Network in a Massively Parallel Environment. [Citation Graph (0, 0)][DBLP]
    PDPTA, 1999, pp:1182-1188 [Conf]
  9. Nam Hun Park, Won Suk Lee
    Statistical sigma-Partition Clustering over Data Streams. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:387-398 [Conf]
  10. Jung Eun Shim, Won Suk Lee
    A landmark extraction method for protein 2DE gel images based on multi-dimensional clustering. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:35, n:1-2, pp:157-170 [Journal]
  11. Kil Hong Joo, Won Suk Lee
    An Adaptive Materialization Method for Globally Optimized Query Evaluation in a Hierarchical Mediator System. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2007, v:50, n:1, pp:68-80 [Journal]
  12. Sang Hyun Oh, Won Suk Lee
    An anomaly intrusion detection method by clustering normal user behavior. [Citation Graph (0, 0)][DBLP]
    Computers & Security, 2003, v:22, n:7, pp:596-612 [Journal]
  13. Joong Hyuk Chang, Won Suk Lee
    Finding frequent itemsets over online data streams. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 2006, v:48, n:7, pp:606-618 [Journal]
  14. Joong Hyuk Chang, Won Suk Lee
    Finding recently frequent itemsets adaptively over online transactional data streams, . [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2006, v:31, n:8, pp:849-869 [Journal]
  15. Kil Hong Joo, Won Suk Lee
    An efficient query evaluation in a mediator based on implementation plan. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:7, pp:799-819 [Journal]
  16. Joong Hyuk Chang, Won Suk Lee
    Effect of Count Estimation in Finding Frequent Itemsets over Online Transactional Data Streams. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2005, v:20, n:1, pp:63-69 [Journal]
  17. Joong Hyuk Chang, Won Suk Lee
    A Sliding Window Method for Finding Recently Frequent Itemsets over Online Data Streams. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2004, v:20, n:4, pp:753-762 [Journal]
  18. Kil Hong Joo, Won Suk Lee
    Adaptive Selection of Materialized Queries in a Mediator. [Citation Graph (0, 0)][DBLP]
    Parallel Processing Letters, 2005, v:15, n:4, pp:451-458 [Journal]
  19. Nam Hun Park, Won Suk Lee
    Statistical grid-based clustering over data streams. [Citation Graph (0, 0)][DBLP]
    SIGMOD Record, 2004, v:33, n:1, pp:32-37 [Journal]
  20. Sang-Hyun Oh, Won-Suk Lee
    Anomaly Intrusion Detection Based on Dynamic Cluster Updating. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:737-744 [Conf]
  21. Nam Hun Park, Won Suk Lee
    Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:753-760 [Conf]

  22. An on-line interactive method for finding association rules data streams. [Citation Graph (, )][DBLP]


  23. Grid-based subspace clustering over data streams. [Citation Graph (, )][DBLP]


  24. A coarse-grain grid-based subspace clustering method for online multi-dimensional data streams. [Citation Graph (, )][DBLP]


  25. M-COPE: a multiple continuous query processing engine. [Citation Graph (, )][DBLP]


  26. DS-Cuber: an integrated OLAP environment for data streams. [Citation Graph (, )][DBLP]


  27. estMax: Tracing Maximal Frequent Itemsets over Online Data Streams. [Citation Graph (, )][DBLP]


  28. Memory efficient subspace clustering for online data streams. [Citation Graph (, )][DBLP]


  29. A spot-matching framework for improving matching accuracy in protein 2-DE gel image analysis. [Citation Graph (, )][DBLP]


  30. Context-aware robot navigation based on sensor association rules. [Citation Graph (, )][DBLP]


  31. Cell trees: An adaptive synopsis structure for clustering multi-dimensional on-line data streams. [Citation Graph (, )][DBLP]


  32. Efficiently tracing clusters over high-dimensional on-line data streams. [Citation Graph (, )][DBLP]


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