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Kun-Ta Chuang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kun-Ta Chuang, Ming-Syan Chen
    Frequent pattern discovery with memory constraint. [Citation Graph (0, 0)][DBLP]
    CIKM, 2005, pp:345-346 [Conf]
  2. Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, Ming-Syan Chen
    On subspace clustering with density consciousness. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:804-805 [Conf]
  3. Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
    An Efficient Clustering Algorithm for Market Basket Data Based on Small Large Ratios. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2001, pp:505-510 [Conf]
  4. Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
    Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:42-51 [Conf]
  5. Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen
    On Exploring the Power-Law Relationship in the Itemset Support Distribution. [Citation Graph (0, 0)][DBLP]
    EDBT, 2006, pp:682-699 [Conf]
  6. Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
    Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:106-113 [Conf]
  7. Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
    Using Category-Based Adherence to Cluster Market-Basket Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:546-553 [Conf]
  8. Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
    Clustering Item Data Sets with Association-Taxonomy Similarity. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:697-700 [Conf]
  9. Yi-Hong Chu, Kun-Ta Chuang, Ming-Syan Chen
    QED: An Efficient Framework for Temporal Region Query Processing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:323-332 [Conf]
  10. Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
    Progressive Sampling for Association Rules Based on Sampling Error Estimation. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:505-515 [Conf]
  11. Ming-Syan Chen, Kun-Ta Chuang
    Clustering Categorical Data Using the Correlated-Force Ensemble. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  12. Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
    Adherence clustering: an efficient method for mining market-basket clusters. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2006, v:31, n:3, pp:170-186 [Journal]
  13. Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen
    Quality-Aware Sampling and Its Applications in Incremental Data Mining. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:4, pp:468-484 [Journal]
  14. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-Syan Chen
    DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:456-465 [Conf]
  15. Hao-Ping Hung, Kun-Ta Chuang, Ming-Syan Chen
    Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:10, pp:1404-1419 [Journal]
  16. Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen
    Mining top-k frequent patterns in the presence of the memory constraint. [Citation Graph (0, 0)][DBLP]
    VLDB J., 2008, v:0, n:, pp:- [Journal]
  17. Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen
    Power-law relationship and self-similarity in the itemset support distribution: analysis and applications. [Citation Graph (0, 0)][DBLP]
    VLDB J., 2008, v:0, n:, pp:- [Journal]

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