Artificial Immune System Based Data Miner

Hassan Babiker, Amir Samir (2011) Artificial Immune System Based Data Miner. Masters thesis, University of Multimedia.

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Abstract

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.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 18 Jan 2012 07:17
Last Modified: 18 Jan 2012 07:17
URI: http://shdl.mmu.edu.my/id/eprint/3348

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