Artificial Intelligence Lab: Data Mines

R. Verma, P. Chen, A Data Mining Hypertextbook: Design, Implementation and Experience, Journal of Computing Sciences in Colleges, Volume 27, Number 3 January 2012.

P. Chen, W. Ding, W. Garcia*, “Adaptive Study Design through Semantic Association Rule Analysis”, International Journal of Software Science and Computational Intelligence, Vol. 2, No. 3., 2011, page 34-48.

P. Chen, D. Barbara, “Fractal Clustering”, Lambert Academic Publishing, 2010, ISBN: 978-3-8433-6212-2

W. Ding, P. Chen, “An Interactive Visualization Model for Large High-dimensional Datasets: A Case Study”, a book chapter in Data Engineering: Mining, Information, and Intelligence. Editors: Yupo Chan, John Talburt, Terry Talley. Springer, 2009, ISBN: 978-1-4419-0175-0.

K. Zhao, C. Ordonez, W. Garcia*, P. Chen, “Efficient Algorithms based on Relational Queries to Mine Frequent Graphs”, PIKM Workshop in conjunction with the 19th ACM Conference on Information and Knowledge Management CIKM 2010, Oct. 2010. Toronto, Canada.

P. Chen, R. Verma, J. C. Meininger, W. Chan, “Semantic Analysis of Association Rules”, The 21th International FLAIRS Conference, May 2008, Miami, Florida.

29. W. Ding, P. Chen, H. Al-Mubaid, M. Pomplun, “A Gaze-Controlled Interface to Virtual Reality Applications for Motor- and Speech-Impaired Users”, the 13th International Conference on Human-Computer Interaction, July 2009, San Diego, CA

X. Wang, P. Chen, “Web-Based Interactive Visualization of Data Cubes”, The 2005 International Conference on Modeling, Simulation and Visualization Methods, June 2005, Las Vegas, Nevada

A. de Korvin, P. Chen, C. Hu, “A Genetic Algorithm Approach for Analyzing Network Intrusion Hyperalerts”, IFSA 2005, July 2005, Beijing, China.

D. Barbara, P. Chen, “Fractal Data Mining”, in "Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers", published by Kluwer Academic Publishers, 2004

E. Deeba, A. de Korvin, P. Chen, “Generating and applying rules for web documents retrieval”, Far East Journal of Applied Mathematics, vol. 16(3)(2004) P249 - 272.

A. de Korvin, P. Chen, C. Hu, “Generating and Applying Rules for Interval Valued Fuzzy Observations”, Lecture Notes in Computer Science, Vol. 3177, pp. 279-284, Springer-Verlag, 2004

D. Barbara, P. Chen, “Self-similar Mining of Time Association Rules”, The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’04), Sydney, Australia, May 2004

P. Chen, C. Hu, W. Ding, H. Lynn, "Icon-based Visualization of Large High-Dimensional Datasets", Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, Florida, November 2003

D. Barbara, P. Chen, “Using self-similarity to cluster large data sets", Journal of Knowledge Discovery and Data Mining, 7, Page 123 – 152, 2003.

P. Chen, C. Hu, H. Lynn, Y. Simon, “Visualizing Multi-Dimensional Data”, 2003 ADEL Working Paper Series, Little Rock, AR, January 2003.

H. Lynn, P. Chen, C. Hu, Y. Simon, “Co-rendering and Interpretation of Nine 3D-attribute volumes: Case History, Central Texas, 3D PP multi-azimuth characterization of a naturally-fractured gas reservoir”, invited paper by Denver Geophysical Society, November 2002.

P. Chen, C. Hu, H. Lynn, Y. Simon, “Visualizing High Dimensional Data”, Conference on Applied Research in Data Engineering 2002, Little Rock, AR, November 2002.

P. Chen, A. de Korvin, C. Hu, “Association Analysis with Interval Valued Fuzzy Sets and Body of Evidence”, 2002 IEEE International Conference on Fuzzy Systems, pp. 518-523, Honolulu, HI, May 2002

D. Barbara, P. Chen, “Tracking Clusters in Evolving Data Sets”, FLAIRS'2001, Key West, FL, May 2001.

D. Barbara, P. Chen, "Using the Fractal Dimension to Cluster Datasets,'' honorable mention at 2000 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2000.