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.
محفوظ في:
المؤلف الرئيسي: | |
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التنسيق: | أطروحة |
منشور في: |
2011
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my-mmu-ep.33482012-01-18T07:17:52Z Artificial Immune System Based Data Miner 2011-01 Hassan Babiker, Amir Samir QA76.75-76.765 Computer software 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. 2011-01 Thesis http://shdl.mmu.edu.my/3348/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters University of Multimedia Research Library |
institution |
Multimedia University |
collection |
MMU Institutional Repository |
topic |
QA76.75-76.765 Computer software |
spellingShingle |
QA76.75-76.765 Computer software Hassan Babiker, Amir Samir Artificial Immune System Based Data Miner |
description |
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. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Hassan Babiker, Amir Samir |
author_facet |
Hassan Babiker, Amir Samir |
author_sort |
Hassan Babiker, Amir Samir |
title |
Artificial Immune System Based Data Miner |
title_short |
Artificial Immune System Based Data Miner |
title_full |
Artificial Immune System Based Data Miner |
title_fullStr |
Artificial Immune System Based Data Miner |
title_full_unstemmed |
Artificial Immune System Based Data Miner |
title_sort |
artificial immune system based data miner |
granting_institution |
University of Multimedia |
granting_department |
Research Library |
publishDate |
2011 |
_version_ |
1747829482077552640 |