Kun-Ta Chuang


Email: doug [AT] arbor . ee . ntu . edu . tw

 

Biosketch

Kun-Ta Chuang received the Ph.D. degree in Graduate Institute of Communication Engineering from National Taiwan University in 2006 (supervised by Prof. Ming-Syan Chen). Kun-Ta Chuang is a member of IEEE.


Publications (papers indexed by DBLP)

    Journal Papers

  1. Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, and Ming-Syan Chen, ``Density Conscious Subspace Clustering for High-Dimensional Data,'' accepted by IEEE Trans. on Knowledge and Data Engineering, 2008.

  2. Kun-Ta Chuang, Hung-Leng Chen, and Ming-Syan Chen, ``Feature-Preserved Sampling over Streaming Data,'' accepted by ACM Trans. on Knowledge Discovery from Data, 2008.

  3. Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen, ``On Data Labeling for Clustering Categorical Data,'' accepted by IEEE Trans. on Knowledge and Data Engineering, 2008.

  4. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and Ming-Syan Chen, ``Toward the Optimal Itinerary-based KNN Query Processing in Mobile Sensor Network,'' accepted by IEEE Trans. on Knowledge and Data Engineering, 2008.

  5. Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen, ``Mining Top-k Frequent Patterns in the Presence of the Memory Constraint,'' accepted by Very Large Data Base Journal (VLDBJ), 2007.

  6. Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen, ``Power-Law Relationship and Self-Similarity in the Itemset Support Distribution: Analysis and Applications,'' accepted by Very Large Data Base Journal (VLDBJ), 2007.

  7. Hao-Ping Hung, Kun-Ta Chuang, and Ming-Syan Chen, ``Efficient Top-k Query Processing over Multiple Streams with Minimized Global Error,'' accepted by IEEE Trans. on Knowledge and Data Engineering, 2007.

  8. Kun-Ta Chuang, Keng-Pei Lin, and Ming-Syan Chen, ``Quality-Aware Sampling and its Applications in Incremental Data Mining,'' accepted by IEEE Trans. on Knowledge and Data Engineering, 2006.

  9. Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen, ``Adherence Clustering: An Efficient Method for Mining Market-Basket Clusters,'' InfoRmation Systems, Vol. 31, Num. 3, May 2006.

    Conference Proceedings

  10. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen and Ming-Syan Chen, ``DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks,'' Proc. of the 23rd IEEE Intern'l Conf. on Data Engineering (ICDE-07), April 16-20, 2007. (full paper, acceptance rate=122/659~18%)
    PDF Document

  11. Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang and Ming-Syan Chen, ``Density Conscious Subspace Clustering for High-Dimensional Data,'' Proc. of the ACM 15th Intern'l Conf. on Information and Knowledge Management (CIKM-06) , November 6-11, 2006. (poster paper, acceptance rate =81(full)+56(poster)/537=25%)
    PDF Document

  12. Kun-Ta Chuang, Jiun-Long Huang and Ming-Syan Chen, ``On Exploring the Power-Law Relationship in the Itemset Support Distribution,'' Proc. of the 10th Intern'l Conf. on Extending Database Technology (EDBT-2006), March 26-30, 2006. (acceptance rate 56/355=16%)
    PDF Document

  13. Hung-Leng Chen, Kun-Ta Chuang and Ming-Syan Chen, ``Toward Highly Efficient Clustering: A Framework of Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values,'' Proc. of the IEEE 5th Intern'l Conf. on Data Mining (ICDM-2005), November 27-30, 2005. (full paper, acceptance rate=69/630=11%)
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  14. Kun-Ta Chuang and Ming-Syan Chen, ``Frequent Pattern Discovery with Memory Constraint,'' Proc. of the ACM 14th Intern'l Conf. on Information and Knowledge Management (CIKM-05), October 31 - November 5, 2005.
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  15. Yi-Hong Chu, Kun-Ta Chuang and Ming-Syan Chen, ``QED: An Efficient Framework for Temporal Region Query Processing,'' Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)
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  16. Kun-Ta Chuang, Wen-Chieh Yang and Ming-Syan Chen, ``Progressive Sampling for Association Rules based on Sampling Error Estimation,'' Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)
    PDF Document

  17. Kun-Ta Chuang and Ming-Syan Chen, ``Clustering Categorical Data by Utilizing the Correlated-Force Ensemble,'' Proc. of the 4th SIAM Intern'l Conference on Data Mining (SDM-04), April 22-24, 2004. (regular paper, acceptance rate=26/161=16.1%)
    PDF Document

  18. Ching-Huang Yun, Kun-Ta Chuang and Ming-Syan Chen,``Clustering Item Data Sets with Association-Taxonomy Similarity'', Proc. of the IEEE 3rd Intern'l Conf. on Data Mining (ICDM-2003), November 19-22, 2003. (short paper, acceptance rate=23%)
    PDF Document

  19. Ching-Huang Yun, Kun-Ta Chuang and Ming-Syan Chen,`` Using Category-Based Adherence to Cluster Market-Basket Data'', Proc. of the IEEE 2nd Intern'l Conf. on Data Mining (ICDM-2002), December 9-12, 2002. (full paper, acceptance rate=72/369=19%)
    PDF Document

  20. Ching-Huang Yun, Kun-Ta Chuang and Ming-Syan Chen, ``Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data,'' Proc. of the 4th International Conference on Data Warehousing and Knowledge Discovery (DaWaK-2002), September 4-6, 2002, pp 42-51.
    PDF Document

  21. Ching-Huang Yun, Kun-Ta Chuang and Ming-Syan Chen, "An Efficient Clustering Algorithm for Market Basket Data Based on Small-Large Ratios," Proceedings of the 25th International Computer Software and Applications Conference (COMPSAC 2001), October 8-12, 2001, pp. 505-510.
    PDF Document

    Patents

  1. Kun-Ta Chuang and Ming-Syan Chen, "Clustering Categorical Data by Utilizing the Correlated-Force Ensemble," R.O.C. Patent, No. I249113, 2006/02/11 detailed info
  2. C.-H. Yun, Kun-Ta Chuang and Ming-Syan Chen, "Clustering Item Data Sets with Association-Taxonomy Similarity," No. 93109364, April 2004, filed to R.O.C. Patent office.
  3. Kun-Ta Chuang, Hung-Leng Chen, Ming-Syan Chen and Wen-Chieh Yang, "CellSampler: Pattern-Preserving Sampling over Data Streams," No. 93117949, June 2004, filed to R.O.C. Patent office.

Professional Activities

Journal Reviewer

Conference Reviewer