MLC++ is a standard C++ library for supervised machine learning, with back-end and front-end tools for data mining tasks like Decision Trees, and Clustering. Information on legal issues, mailing lists, history, standards, platform support, and downloa...

Includes source code, related research papers and associated work.

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.

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. L...

Written in Python, the toolbox handles caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - main...

Source code for decision tree algorithms from Ross Quinlan's homepage, available free for download.

Source code for program for creation of hierarchical classification trees. Information about implementations, documentation, and related research papers.

Includes source code, related papers and associated projects.

Open source software for extraction and reporting using a powerful template tool. Deft combines declarative concepts of SQL with all of Perl's features. Requires Linux and Perl

A freely available software toolkit for clustering low- and high-dimensional data sets. It is well-suited for clustering data sets arising in many areas including information retrieval, customer purchasing transactions, science, and biology.