My Full publications

Journal Papers

  • Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, and Ming-Syan Chen, ''Density Conscious Subspace Clustering for High-Dimensional Data,'' IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 22, No. 1, pp. 16-30, January 2010.
  • Kun-Ta Chuang, Hung-Leng Chen, and Ming-Syan Chen, ''Feature Preserved Sampling over Streaming Data,'' ACM Trans. on Knowledge Discovery from Data (TKDD), Vol. 2, No. 4, 2009.
  • Shan-Hung Wu, Kun-Ta Chuang, Chuang-Min Chen, and Ming-Syan Chen, ''Toward the Optimal Itinerary-based KNN Query Processing in Mobile Sensor Networks,'' IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 12, pp. 1655-1668, December 2008.
  • Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen, ''On Data Labeling for Clustering Categorical Data,'' IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 11, pp. 1458-1471, November 2008.
  • Kun-Ta Chuang,Jiun-Long Huang, and Ming-Syan Chen, ''Power-Law Relationship and Self-Similarity in the Itemset Support Distribution: Analysis and Applications,'' Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1121-1141, August 2008.
  • Kun-Ta Chuang,Jiun-Long Huang, and Ming-Syan Chen, ''Mining Top-k Frequent Patterns in the Presence of the Memory Constraint,'' Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1321-1344, August 2008.
  • Hao-Ping Hung, Kun-Ta Chuang, and Ming-Syan Chen, ''Efficient Top-k Query Processing over Multiple Streams with Minimized Global Error,'' IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 10, pp. 1404-1419, October 2007.
  • Kun-Ta Chuang, Keng-Pei Lin, and Ming-Syan Chen, ''Quality-Aware Sampling and its Applications in Incremental Data Mining,'' IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 4, pp. 468-484, April 2007.
  • Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen, ''Adherence Clustering: An Efficient Method for Mining Market-Basket Clusters,'' Information Systems, Vol. 31, 170-186, 2006.

 


 

Book Chapters

  • Wei-Guang Teng and Kun-Ta Chuang, ''KNN Queries in Mobile Sensor Networks,'' Scalable Computing: Theory and Practice, edited by Samee U. Khan, Lizhe Wang, and Albert Y. Zomaya, 2012, John Wiley & Sons.

 


 

Conference Papers

  • Ying-Ju Chen, Kun-Ta Chuang, Ming-Syan Chen, ''Coupling or Decoupling for KNN Search on Road Networks? A Hybrid Framework on User Query Patterns,''Proc. of the ACM 20th Intern'l Conf. on Information and Knowledge Management (CIKM-11), October 24 - October 28, 2011. (full paper, acceptance rate=134/917~15%)
  • 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%)
  • 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%)
  • 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-06), March 26-30, 2006. (acceptance rate 56/355=16%)
  • 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-05), November 27-30, 2005. (full paper, acceptance rate=69/630=11%)
  • 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.
  • 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%)
  • 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%)
  • 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%
  • 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-03), November 19-22, 2003. (short paper, acceptance rate=23%)
  • 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-02), December 9-12, 2002. (full paper, acceptance rate=72/369=19%)
  • 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-02), September 4-6, 2002, pp 42-51.
  • 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-01), October 8-12, 2001, pp. 505-510.

 


 

Patents

  • Kun-Ta Chuang and Ming-Syan Chen, "Clustering Categorical Data by Utilizing the Correlated-Force Ensemble," R.O.C. Patent, No. I249113, Feburary 11, 2006.
  • Ching-Huang 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.
  • 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.