Predefined Object Reduction
Reduction techniques is still an open area to be explored in knowledge management. This paper defines algorithm known as Predefined Hybrid Reduction which generate its conditions for object co occurrences of original data then execute Hybrid Reduction data for their data to perform extractions. Pred...
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ump-143332018-05-18T02:31:52Z http://umpir.ump.edu.my/id/eprint/14333/ Predefined Object Reduction Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Liu, Yao QA75 Electronic computers. Computer science Reduction techniques is still an open area to be explored in knowledge management. This paper defines algorithm known as Predefined Hybrid Reduction which generate its conditions for object co occurrences of original data then execute Hybrid Reduction data for their data to perform extractions. Predefined Hybrid Reduction give a proper solution for expansion the data set , it select significant object with high quality of informations, it delete every object not satisfies their conditions. It show appropriate relevant result. It provide better reduction without inconsistency problem unlike data comparisons. It manage the inferior object which store only significant data based on predefined confidence and predefined support for maintain the inferior object then Hybrid reduction which are dual reduction. As part of this proposal, a comparison test with Hybrid reduction. The conclusion part which shows better alternative result through our model IJARCET 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14333/1/fskkp-2013-taheir-Predefined%20Object%20Reduction.pdf Mohammed, Mohammed Adam Taheir and Wan Maseri, Wan Mohd and Ruzaini, Abdullah Arshah and Liu, Yao (2013) Predefined Object Reduction. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) , 2 (12). pp. 3066-3070. ISSN 2278-1323 http://ijarcet.org/ |
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English |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Liu, Yao Predefined Object Reduction |
description |
Reduction techniques is still an open area to be explored in knowledge management. This paper defines algorithm known as Predefined Hybrid Reduction which generate its conditions for object co occurrences of original data then execute Hybrid Reduction data for their data to perform extractions. Predefined Hybrid Reduction give a proper solution for expansion the data set , it select significant object with high quality of informations, it delete every object not satisfies their conditions. It show appropriate relevant result. It provide better reduction without inconsistency problem unlike data comparisons. It manage the inferior object which store only significant data based on predefined confidence and predefined support for maintain the inferior object then Hybrid reduction which are dual reduction. As part of this proposal, a comparison test with Hybrid reduction. The conclusion part which shows better alternative result through our model |
format |
Article |
author |
Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Liu, Yao |
author_facet |
Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Liu, Yao |
author_sort |
Mohammed, Mohammed Adam Taheir |
title |
Predefined Object Reduction |
title_short |
Predefined Object Reduction |
title_full |
Predefined Object Reduction |
title_fullStr |
Predefined Object Reduction |
title_full_unstemmed |
Predefined Object Reduction |
title_sort |
predefined object reduction |
publisher |
IJARCET |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/14333/ http://umpir.ump.edu.my/id/eprint/14333/ http://umpir.ump.edu.my/id/eprint/14333/1/fskkp-2013-taheir-Predefined%20Object%20Reduction.pdf |
first_indexed |
2023-09-18T22:17:58Z |
last_indexed |
2023-09-18T22:17:58Z |
_version_ |
1777415464890138624 |