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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| Format: | Conference or Workshop Item |
| Language: | English |
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2013
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| Online Access: | https://repo.uum.edu.my/id/eprint/13689/1/Keynotes%202.pdf |
| _version_ | 1825803231730597888 |
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| author | Ku-Mahamud, Ku Ruhana |
| author_facet | Ku-Mahamud, Ku Ruhana |
| author_sort | Ku-Mahamud, Ku Ruhana |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T05:53:30Z |
| format | Conference or Workshop Item |
| id | uum-13689 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:53:30Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-136892015-04-08T02:03:22Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 |
| spellingShingle | QA76 Computer software Ku-Mahamud, Ku Ruhana Big data clustering using grid computing and ant-based algorithm |
| title | 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_short | Big data clustering using grid computing and ant-based algorithm |
| title_sort | big data clustering using grid computing and ant based algorithm |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13689/1/Keynotes%202.pdf |
| work_keys_str_mv | AT kumahamudkuruhana bigdataclusteringusinggridcomputingandantbasedalgorithm |