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The Aim of this project is to provide a collection of reusable Algorithms which can be used effectively in different scenarios.
Algorithm implementations are in Java. Objective here is to implement algorithms which should be more efficient than the JDK implementation and also to create a platform for the researchers who works on DataMining, Encryption algorithms, ect.. to collaborate and contribute to this project.
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/.
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 dataminingalgorithm, text mining.
musicomp is a program which most important element is an evolutionary algorithm which uses datamining methods as a fitness function to generate monophone melodies.
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