Artificial Immune System Based Data Miner

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Artificial Immune System Based Data Miner

The goal of this project is to show how to solve data mining classification problems using Clonal Selection Algorithm (CLONALG). A comparisons has been proposed between the CLONALG and other classification techniques to show the performance and the accuracy of it.

Bibliographic Details
Main Author:	Hassan Babiker, Amir Samir
Format:	Thesis
Published:	2011
Subjects:	QA76.75-76.765 Computer software
Online Access:	http://shdl.mmu.edu.my/3348/

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