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Big data clustering using grid computing and ant-based algorithm

Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However,...

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Main Author: Ku-Mahamud, Ku Ruhana
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/13689/1/Keynotes%202.pdf
http://repo.uum.edu.my/13689/
http://www.icoci.cms.net.my
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spelling my.uum.repo.136892015-04-08T02:03:22Z http://repo.uum.edu.my/13689/ Big data clustering using grid computing and ant-based algorithm Ku-Mahamud, Ku Ruhana QA76 Computer software Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However, there are many challenges in dealing with big data such as storage, transfer, management and manipulation of big data.Many techniques are required to explore the hidden pattern inside the big data which have limitations in terms of hardware and software implementation. This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13689/1/Keynotes%202.pdf Ku-Mahamud, Ku Ruhana (2013) Big data clustering using grid computing and ant-based algorithm. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ku-Mahamud, Ku Ruhana
Big data clustering using grid computing and ant-based algorithm
description Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However, there are many challenges in dealing with big data such as storage, transfer, management and manipulation of big data.Many techniques are required to explore the hidden pattern inside the big data which have limitations in terms of hardware and software implementation. This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm.
format Conference or Workshop Item
author Ku-Mahamud, Ku Ruhana
author_facet Ku-Mahamud, Ku Ruhana
author_sort Ku-Mahamud, Ku Ruhana
title Big data clustering using grid computing and ant-based algorithm
title_short Big data clustering using grid computing and ant-based algorithm
title_full Big data clustering using grid computing and ant-based algorithm
title_fullStr Big data clustering using grid computing and ant-based algorithm
title_full_unstemmed Big data clustering using grid computing and ant-based algorithm
title_sort big data clustering using grid computing and ant-based algorithm
publishDate 2013
url http://repo.uum.edu.my/13689/1/Keynotes%202.pdf
http://repo.uum.edu.my/13689/
http://www.icoci.cms.net.my
_version_ 1644281254472843264
score 13.145126

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