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Library Of Randomized Algorithms:
Randomization is a powerful idea has applications in science and engineering. Difficult optimization problems, protein folding and datamining are only a few of the problems that have been solved using randomization.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for datamining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
NOD-MP stands for not another data-mining project. It is educational and scientific software to utilize datamining clustering algorithms through a user-friendly interface.
DMTL (DataMining Template Library) - A generic C++ based library for mining structured patterns such as sets, sequences, trees and graphs. The library provides implementation of popular frequent pattern mining algorithms.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as datamining algorithm, text mining.
EfficiencyGuardian extracts callgrind efficiency measures from individual CppUnit test cases to detect efficiency regresion. It includes a datamining web tool to browse historic results and TestFarm integration for unattended execution on commit.
musicomp is a program which most important element is an evolutionary algorithm which uses datamining methods as a fitness function to generate monophone melodies.
A utility to extract data from RDBMSs and convert into .arff file format required by WEKA datamining tool set, both interactive wizard and batch working modes.
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Open source code for a wide range of software is now in abundance on the net. The goal of the CodeWeb project is to data mine software development experience that is inherent in this vast amount of code to enhance future development.
Weka++ is a collection of machine learning and datamining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.