AC2 - Software Toolkit
A multi-lingual toolkit for various decision tree algorithms with C++ libraries. Available for free download for a variety of platforms.
Association Rule Miner
Client-server Java based data mining software for mining association rules. Developed at University of Massachusetts.
AutoClass C - General Information
An unsupervised Bayesian classification system that seeks a maximum posterior probability classification.
CART - Salford Systems
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.
Classification Tree in Excel
A small Excel based freeware to build Classification Tree models in Excel. Uses C4.5 algorithm. Very easy to learn and use - but capability is limited.
CLUTO - Clustering Toolkit
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.
Data-Miner Software Kit
Collection of standalone data mining programs, available as scripts or Java programs. Contains information for downloading, installation, data preparation, and operating instructions. Supplementary to the book titled Predictive Data Mining - A Practical Guide.
DeFindIt Analysis and Reporting
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
Discovery of Multivalued Dependencies from Relations
Includes source code, related papers and associated projects.
DMTools
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 - mainly domain and data collection dependent - for complex and time consuming data mining tasks. GNU/GPL. From the Computer Sciences Laboratory of The Australian National University
ECOBWEB - Concept Formation Program
Source code for program for creation of hierarchical classification trees. Information about implementations, documentation, and related research papers.
FOIL and C4.5
Source code for decision tree algorithms from Ross Quinlan's homepage, available free for download.
Frequent Pattern Mining Implementations
Frequent itemset and association rule mining implementations (C++) such as Apriori, Eclat and FP-growth.
Graf-FX
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.
Inducing Functional Dependencies from Relations
Includes source code, related research papers and associated work.
Machine Learning Library in C++
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 download instructions.
Model-Based Classification Software
Model based clustering and discriminant analysis, including hierarchical clustering and EM. Developed at University of Washington.
MPCA Software
GPL C/C++ software for data analysis of discrete data using principal/independent component methods. Examples are DPCA, LDA, GaP (like PLSI and NMF). Targetted at text, with MPI and multithreading.
PAFI - Pattern Finding Toolkit
A freely available software toolkit for finding frequent patterns in diverse datasets. It contains highly efficient algorithms for finding patterns in transactional, sequential, and graph datasets.
The PNC2 Rule Induction System
Windows software tool that induces rules using the PNC2 cluster algorithm. An integrated parameter tuning component allows an easy adjustment of the algorithm's behaviour to the given problem without any further knowledge. [Gnu GPL]
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