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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 data mining 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 data mining 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 data mining clustering algorithms through a user-friendly interface.
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 data mining algorithm, text mining.
DMTL (Data Mining 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.
EfficiencyGuardian extracts callgrind efficiency measures from individual CppUnit test cases to detect efficiency regresion. It includes a data mining 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 data mining methods as a fitness function to generate monophone melodies.
Automated trading system extracts stock quotes from Forex, MetaTrader and tries to detemine points to open/close orders. Using moving average. Implemented in Java. Future versions will use such cool stuff as data mining and artificial inteligance.
Weka-CG is a comprehensive data miningsoftware package for human genetics. It is an extension of the open-source, JAVA-based, Weka data mining package.
Incridge - A Software Tool for Scalable, Parallel, Incremental and Decremental Classification based on Support Vector Machine (SVM) Approximation Algorithms. Possible use include: web usage mining, bioinformatics and spam-classification.
A utility to extract data from RDBMSs and convert into .arff file format required by WEKA data mining tool set, both interactive wizard and batch working modes.
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 data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.