A Rough-set-based Incremental Approach For Updating Approximations Under Dynamic Maintenance Environments

Chen, H; Li, T; Ruan, D; Lin, J; Hu, C

A Rough-set-based Incremental Approach For Updating Approximations Under Dynamic Maintenance Environments

Chen, H Li, T Ruan, D Lin, J Hu, C

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Publisher:: IEEE Computer Soc
Publication Type:: Journal Article
Citation:: IEEE Transactions On Knowledge And Data Engineering, 2013, 25 (2), pp. 274 - 284
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Chen, H	en_US
dc.contributor.author	Li, T	en_US
dc.contributor.author	Ruan, D	en_US
dc.contributor.author	Lin, J	en_US
dc.contributor.author	Hu, C	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	IEEE Transactions On Knowledge And Data Engineering, 2013, 25 (2), pp. 274 - 284	en_US
dc.identifier.issn	1041-4347	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27512
dc.description.abstract	Approximations of a concept by a variable precision rough-set model (VPRS) usually vary under a dynamic information system environment. It is thus effective to carry out incremental updating approximations by utilizing previous data structures. This paper focuses on a new incremental method for updating approximations of VPRS while objects in the information system dynamically alter. It discusses properties of information granulation and approximations under the dynamic environment while objects in the universe evolve over time. The variation of an attribute's domain is also considered to perform incremental updating for approximations under VPRS. Finally, an extensive experimental evaluation validates the efficiency of the proposed method for dynamic maintenance of VPRS approximations	en_US
dc.publisher	IEEE Computer Soc	en_US
dc.relation.ispartof	IEEE Transactions On Knowledge And Data Engineering	en_US
dc.relation.isbasedon	10.1109/TKDE.2011.220	en_US
dc.rights	© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.classification	Information Systems	en_US
dc.title	A Rough-set-based Incremental Approach For Updating Approximations Under Dynamic Maintenance Environments	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	25	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	2	en_US
pubs.volume	25	en_US

Abstract:

Approximations of a concept by a variable precision rough-set model (VPRS) usually vary under a dynamic information system environment. It is thus effective to carry out incremental updating approximations by utilizing previous data structures. This paper focuses on a new incremental method for updating approximations of VPRS while objects in the information system dynamically alter. It discusses properties of information granulation and approximations under the dynamic environment while objects in the universe evolve over time. The variation of an attribute's domain is also considered to perform incremental updating for approximations under VPRS. Finally, an extensive experimental evaluation validates the efficiency of the proposed method for dynamic maintenance of VPRS approximations

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http://hdl.handle.net/10453/27512