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Integrated Mobile Spain Model Using Artificial Immune System Algorithms

The unique and complex of Biology Immune System (BIS) gives inspiration to scientists to develop new theory in computational area known as the Artificial Immune System (AIS), and this theory uses by researchers to solve real world problems. This paper aims to understand the BIS with AIS, and later d...

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Main Authors: Nurul Fadhilah, Sulaiman,, Mohd Zalisham, Jali,
Format: Conference Paper
Language:en_US
Published: Universiti Utara Malaysia -UUM 2015
Subjects:
Biology Immune System
Artificial Immune System
text 'SPAM' messages
Mobile Spam
Online Access:http://ddms.usim.edu.my/handle/123456789/8958
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spelling my.usim-89582015-08-05T03:10:24Z Integrated Mobile Spain Model Using Artificial Immune System Algorithms Nurul Fadhilah, Sulaiman, Mohd Zalisham, Jali, Biology Immune System Artificial Immune System text 'SPAM' messages Mobile Spam The unique and complex of Biology Immune System (BIS) gives inspiration to scientists to develop new theory in computational area known as the Artificial Immune System (AIS), and this theory uses by researchers to solve real world problems. This paper aims to understand the BIS with AIS, and later discuss a relationship between them in identifying text 'SPAM' messages. To achieve this, four types of algorithms are explained; namely Immune Network Theory, Negative Selection, Clonal Selection and Danger Theory. This paper is expected to present details explanation about the intersection between BIS and AIS and highlights the use of AIS to identify text 'SPAM' messages 2015-08-05T03:10:24Z 2015-08-05T03:10:24Z 2014 Conference Paper 978-983-2078-92-0 http://ddms.usim.edu.my/handle/123456789/8958 en_US Universiti Utara Malaysia -UUM
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Biology Immune System
Artificial Immune System
text 'SPAM' messages
Mobile Spam
spellingShingle Biology Immune System
Artificial Immune System
text 'SPAM' messages
Mobile Spam
Nurul Fadhilah, Sulaiman,
Mohd Zalisham, Jali,
Integrated Mobile Spain Model Using Artificial Immune System Algorithms
description The unique and complex of Biology Immune System (BIS) gives inspiration to scientists to develop new theory in computational area known as the Artificial Immune System (AIS), and this theory uses by researchers to solve real world problems. This paper aims to understand the BIS with AIS, and later discuss a relationship between them in identifying text 'SPAM' messages. To achieve this, four types of algorithms are explained; namely Immune Network Theory, Negative Selection, Clonal Selection and Danger Theory. This paper is expected to present details explanation about the intersection between BIS and AIS and highlights the use of AIS to identify text 'SPAM' messages
format Conference Paper
author Nurul Fadhilah, Sulaiman,
Mohd Zalisham, Jali,
author_facet Nurul Fadhilah, Sulaiman,
Mohd Zalisham, Jali,
author_sort Nurul Fadhilah, Sulaiman,
title Integrated Mobile Spain Model Using Artificial Immune System Algorithms
title_short Integrated Mobile Spain Model Using Artificial Immune System Algorithms
title_full Integrated Mobile Spain Model Using Artificial Immune System Algorithms
title_fullStr Integrated Mobile Spain Model Using Artificial Immune System Algorithms
title_full_unstemmed Integrated Mobile Spain Model Using Artificial Immune System Algorithms
title_sort integrated mobile spain model using artificial immune system algorithms
publisher Universiti Utara Malaysia -UUM
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/8958
_version_ 1645152508019998720
score 13.222552

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