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Client-server Java based data mining software for mining association rules. Developed at University of Massachusetts.
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.
Includes source code, related research papers and associated work.
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.
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.
Open Source creation of a data mining C++ procedure library. Initially focused on mining generalised association rules and generalised sequential patterns
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.
By David Chickering at Microsoft Research. The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts.
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.
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.
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.
Source code for program for creation of hierarchical classification trees. Information about implementations, documentation, and related research papers.
Client-server Java based data mining software for mining association rules. Developed at University of Massachusetts.
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
Open Source creation of a data mining C++ procedure library. Initially focused on mining generalised association rules and generalised sequential patterns
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.
Includes source code, related papers and associated projects.
Includes source code, related research papers and associated work.
By David Chickering at Microsoft Research. The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts.
Source code for decision tree algorithms from Ross Quinlan's homepage, available free for download.
Last update:
May 29, 2023 at 5:35:10 UTC
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