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

Client-server Java based data mining software for mining association rules. Developed at University of Massachusetts.

An unsupervised Bayesian classification system that seeks a maximum posterior probability classification.

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...

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.

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

Includes source code, related papers and associated projects.

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

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

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...