Welcome

Kun-Ta Chuang currently serves as an assistant professor in Department of Computer Science and Information Engineering in National Cheng Kung University. He was a senior engineer at EDA giant Synopsys during 2006-2011. He received the Ph.D. degree from Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan in 2006. His research interests include data mining, web technology, mobile data management, and cloud computing.

 

 My lab is recruiting undergraduate and graduate students who have passion in data mining, mobile computing and web intelligence research. Prospective students are welcomed to send me an email to arrange the meeting for a better discussion on the research and project details. See herefor details

 

What's new

  • We are recruiting students for data management research. For details about my lab, please see here
  • In 2012 I am teaching  Theory of Computation for undergraduate and Distributed Database Systems for Cloud Computing for graduate students.
  • In 2011 I am teaching  Advanced Topics in Data Mining: Application and Practice, a graduate course on analysis, models and algorithms for selected topics on data mining..

 

Recent 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.

 

 

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%)