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

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

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).

Original languageEnglish
Pages (from-to)175-204
Number of pages30
JournalAnnals of Mathematics and Artificial Intelligence
Volume39
Issue number1-2
DOIs
StatePublished - 1 Sep 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

  • Artificial Intelligence
  • Applied Mathematics

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