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 language | English |
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Pages (from-to) | 175-204 |
Number of pages | 30 |
Journal | Annals of Mathematics and Artificial Intelligence |
Volume | 39 |
Issue number | 1-2 |
DOIs | |
State | Published - Sep 2003 |
Externally published | Yes |
Bibliographical note
Funding Information:This research is supported in part by an infrastructure grant for data mining from the Israeli Ministry of Science.
Funding
This research is supported in part by an infrastructure grant for data mining from the Israeli Ministry of Science.
Funders | Funder number |
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Israeli Ministry of Science |
Keywords
- Association rules
- Bayesian knowledge bases
- Data mining
- Flexible software systems
- Knowledge discovery in databases
- Meta-queries
- WWW-based tools