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Big data clustering using grid computing and ant-based algorithm


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.

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Abstract

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.

Item Type: Conference or Workshop Item (Keynote)
Additional Information: ISSN 2289-3784 ISBN (PRINT) 978-983-2078-78-4 E-ISBN (ELECTRONIC) 978-983-2078-79-1 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: big data, grid computing, ant-based clustering
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 08 Apr 2015 02:01
Last Modified: 08 Apr 2015 02:03
URI: http://repo.uum.edu.my/id/eprint/13689

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