A Microsoft Access application designed to provide tools to explore your databases with graphs and queries. It is also a quick way to generate/prototype Access Graphs without running the Wizards.

A public-domain software package for the interactive visual exploration of multivariate data sets. It is available on all UNIX platforms which support XR4 or higher. The current version of the software (3.1) supports scatterplots, star glyphs, parallel coordinates, and dimensional stacking.

The VisDB has been developed to support the exploration of large database. The VisDB system implements several visual data mining techniques, allowing an exploration of large databases (up-to about one million data values).

Model based clustering and discriminant analysis, including hierarchical clustering and EM. Developed at University of Washington.

Uses the Minimum Message Length (MML) principle to do mixture modeling. Mixture modeling concerns modeling a statistical distribution by a mixture of other distributions, and is also known as unsupervised concept learning in Artificial Intelligence. Links to related research papers and software.

Software suite which has algorithms for association rules, building classifiers, and clustering data from relational database products using JDBC. References to related articles, and research papers.

A Software system for data mining based on rough set theory. GUI based operation on MS Windows platforms, with a wide variety of algorithms. Information on features, documentation, utilities, and upcoming releases.

A multi-lingual toolkit for various decision tree algorithms with C++ libraries. Available for free download for a variety of platforms.

A decision tree tool that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships. Offers free limited capability demo for download, product features, applications, user feedback, and associated books.

Includes source code, related research papers and associated work.