www-address: http://www.cs.uh.edu/~ceick/matta.html
e-mail: ceick@cs.uh.edu

The goal of the MATTA-project is the development of data mining, machine learning, data preprocessing, and visualization tools that assist data analysts in making sense of large amounts of data. Moreover, the use of those and other tools for analyzing biomedical datasets is the second goal of the project.

Project Team Members

Useful Links

DELVAUX Homepage
MASSON Homepage
Powerpoint Slides Discussing our Database Clustering approach
Powerpoint Slides Discussing our Constructive Induction / Decision Block Analysis Approach
Powerpoint Slides of talk "Promising Newer Technologies to Cope with the Information Flood in the Health Science" (technology review centering on KDD, agent-based systems, and shared ontologies)
Dr. Eick's 2000/2001 Students
KDD Resource Center
MATTA KDD-tool-set
Dr. Eick's Gradute Database Class Homepage (contains teaching material for OLAP and data mining)
A Knowledge Discovery Course Project centering on dependency analysis between variables

Publications

• C. F. Eick, Y-J. Kim, and N. Secomandi, "Enhancing diversity for a genetic algorithm learning environment for classification tasks," in International Conference on Tools with Artificial Intelligence , New Orleans, Nov. 1994.
• Y-J. Kim and C. F. Eick, "Multi-rule-set decision-making schemes for a genetic algorithm learning environment for classification tasks," in The 4th Annual Conference on Evolutionary Programming, San Diego, March 1995.
• C. F. Eick and E. Toto, "Evaluation and Enhancement of Bayesian Rule-Sets in a Genetic Algorithm Environment for Classification Tasks," in Proc. Eighth Int. Symp. on Methodologies for Intelligent Systems, Charlotte, Oct. 1994.
• C. F. Eick, Y-J. Kim, N. Secomandi, and E. Toto, "DELVAUX - An Environment that Learns Bayesian Rule-sets with Genetic Algorithms," in The Third World Congress on Expert Systems , Seoul, Korea, Feb. 1996.
• T.W Ryu and C.F. Eick, "MASSON: Discovering Commonalities of a Set of Objects Using Genetic Programming," in the proceedings of Genetic Programming 1996 Conference (GP-96) at Stanford University in California, U.S.A., July 28-31, 1996.
• T.W Ryu and C.F. Eick, "Deriving Queries From Results Using Genetic Programming," in the proceedings of The Second International Conference on Knowledge Discovery and Data Mining (KDD-96) at Portland, Oregon, U.S.A., August 2-4, 1996.
• T.W Ryu and C.F. Eick, "Automated Discovery of Discriminant Rules for a Group of Objects in Databases," in Conference on Automated Learning and Discovery (CONALD'98) at Carnegie Mellon University, Pittsburgh, U.S.A., June 11-13, 1998.
• T.W Ryu and C.F. Eick, "Similarity Measures for Multi-valued Attributes for Database Clustering," to appear in SMART ENGINEERING SYSTEM DESIGN Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets (ANNIE'98) at St. Louis, Missouri, U.S.A., November 1 - 4, 1998.
• T.W Ryu and C.F. Eick, "Discovering Discriminant Characteristic Queries from Databases through Clustering" to appear in Fourth International Conference on Computer Science and Informatics (CS&I'98) at Research Triangle Park, NC, U.S.A., October 23-28, 1998.
• T.W. Ryu and C.F. Eick, "A Unified Similarity Measure for Attributes with Set or Bag of Values for Database Clustering" to appear in The Sixth International Workshop on Rough Sets, Data Mining and Granular Computing (RSDMGrC'98) at Research Triangle Park, NC, U.S.A., October 23-28, 1998.
• C.F. Eick, W.D. Sanz, and Ru. Zhang, "A Genetic Programming System for Building Block Analysis," to appear Proc. SPIE'99 Conference on Data Mining and Knowledge Discovery, Orlando, April 1999.

Roberto Sebastian Antionio Matta Enchaurren is a surrealist, sometimes also classified as neo-expressionist, painter, born in 1912 in Santiago de Chile. His painting "Being There", painted in 1946, is shown on the top of this page. Another of his paitings is shown on the bottom of this page.

Last updated: March 20, 2001

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