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...At a convenience, we propose the source packages on sourceforge.
The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete datamining application suites.
Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for datamining and discovery knowledge in data (http://knnl.sf.net).
BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and datamining. Comprises useful routines for machine learning in general and for rough set theory in particular.
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DataMining Platform is a platform for datamining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other