Eyal Shlomo Shimony

Senior Academic

Fleximine - A flexible platform for KDD research and application development

R. Ben-Eliyahu-Zohary, C. Domshlak, E. Gudes, N. Liusternik, A. Meisels, T. Rosen, S. E. Shimony

FlexiMine is a KDD system designed as a testbed for data-mining research, as well as a generic knowledge discovery tool for varied database domains. Flexibility is achieved by an open-ended design for extensibility, thus enabling integration of existing data-mining algorithms, new locally developed algorithms, and utility functions such as visualization and preprocessing. Support for new databases is simple and clean: the system interfaces with a standard database server via SQL queries and thus can handle any application database. With a view of serving remote, as well as local, users, internet availability was a design goal. By implementing the system in Java, minor modifications allow us to run the user-end of the system either as a Java applications or (with some limitations on the user) as a Java Applet. This paper reviews the architecture, design and operation of FlexiMine and presents some of the new ideas incorporated in the data-mining algorithms (Association rules, Decision trees, Bayesian knowledge-bases and Meta-queries).

Publication language English
Pages 175-204
Journal Annals of Mathematics and Artificial Intelligence
Volume 39
Issue number 1-2
Publication status Published - 01.09.2003

Keywords

Association rules
Bayesian knowledge bases
Data mining
Flexible software systems
Knowledge discovery in databases
Meta-queries
WWW-based tools

ASJC Scopus subject areas

Applied Mathematics
Artificial Intelligence
Access to Document
10.1023/A:1024487020329
Other files and links
Link to publication in Scopus