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Combining rough decisions for intelligent text mining using Dempster's rule

Bi, Y, McClean, SI and Anderson, TJ (2006) Combining rough decisions for intelligent text mining using Dempster's rule. Artificial Intelligence Review, 26 (3). pp. 191-209. [Journal article]

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URL: http://www.springerlink.com/content/y504768863164015/

DOI: 10.1007/s10462-007-9049-y

Abstract

This paper proposes a novel approach to combining multiple rule sets for intelligent text mining. We develop a boosting-like technique for generating multiple sets of rules based on rough set theory and model decisions inferred from multiple rule sets as evidence for combination by Dempster's rule. This approach builds on our previous work on rough set based methods for mining maximal associations from text collections. Through evaluation on a benchmark data collection, the approach is demonstrated to provide significant improvement over single rule set methods and provides insight into incorporating evidential theory into text mining tasks.

Item Type:Journal article
Keywords:rough decisions, text mining, Dempster's rule
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Information and Communication Engineering
ID Code:12
Deposited By: Dr Yaxin Bi
Deposited On:27 Jan 2016 14:23
Last Modified:27 Jan 2016 14:23

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