SoftwareFrom: Fernando Berzal fberzal@decsai.ugr.esDate: Tue, 10 Oct 2000 11:45:07 +0200 Subject: Free software: TMiner Personal Edition Summary: This personal edition of TMiner collects some algorithms to mine association rules, build classifiers and cluster data obtained from relational databases using JDBC (the standard Java call-level interface). This version of TMiner has been tested with different DBMSs such as Oracle 8i, IBM DB2 UDB and InterBase. TMiner Personal Edition -- Free Java Data Mining software is downloadable from http://frontdb.ugr.es (Research section) TMINER FACT SHEET ----------------- System Requirements: Any Java 2 Virtual Machine, plus the suitable JDBC driver for your database. Numerical Cruncher can also be used as a stand-alone application accessing data stored in local files without the need of JDBC. Check the documentation for more details. TMiner Development Team: - Fernando Berzal (fberzal@decsai.ugr.es) - Juan Carlos Cubero (JC.Cubero@decsai.ugr.es) Any questions or suggestions will be welcomed at fberzal@decsai.ugr.es TMINER DESCRIPTION ------------------ Data Mining is a generic term which covers research results, techniques and tools used to extract useful information from large databases. KDD, which stands for Knowledge Discovery in Databases, has been defined as the non-trivial extraction of potentially useful information from a large volume of data where the information is implicit (although previously unknown). TMiner collects some techniques which may be useful to interpret big datasets (stored in relational tables) and discover relationships among data. This personal edition of TMiner collects some algorithms to mine association rules, build classifiers and cluster data obtained from relational databases using JDBC (the standard Java call-level interface). This version of TMiner has been tested with different DBMSs such as Oracle 8i, IBM DB2 UDB and InterBase. TMiner can be used to explore your own datasets and it is also useful for teaching Data Mining and Pattern Recognition (as its use can help CS/CE students to understand the behaviour of different algorithms and their applicability). |
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