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| Public Domain Software |
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| Listing: |
- 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
rmation 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. - 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] - QuickMiner
Open
Source creation of a data mining C++ procedure library. Initially focused on mining
generalised association rules and generalised sequential patterns - ROSETTA
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. - Shih
Tree Builder
Modelling tool that analyzes data generating classification,
regression or class probability prediction models. - Snob
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. - StatLib
- XlispStat Archive
Environment for statistical computing and dynamic
graphics based on Lisp. Contains contributed code and submission instructions.
- Tminer Personal
Edition
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. - VisDB:
A Visual Data Mining and Database Exploration System
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). - Visual
Basic Data Mining .Net
Data Mining applications developed with Visual Basic
or the .NET Framework by Kingsley Tagbo, including Naive Bayes Classifiers. Site
provides public domain data mining applications with source code and online documentation.
The latest release as of October 2002 is 'Visual Basic Data Mining With Naive
Bayes' and '.NET Data Mining With Naive Bayes'. - WinMine
Toolkit Home Page
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. - XELOPES
Data Mining Library
Platform- and data-source-independent library for embedded
data mining based on the CWM/OMG and other data mining standards. XELOPES-Java
algorithms: SVMs, market basket analysis, sequence analysis, decision trees, cluster
analysis, multidimensional grouping. XELOPES-C++ algorithms: SVMs, decision trees.
[GPL] - XmdvTool Home
Page
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. |
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