Sequential pattern mining and nonmonotonic reasoning for intelligent information agents

Lau, Raymond Y. K. and Li, Yuefeng and Wu, Sheng-Tang and Zhou, Xujuan (2007) Sequential pattern mining and nonmonotonic reasoning for intelligent information agents. International Journal of Pattern Recognition and Artificial Intelligence, 21 (4). pp. 773-789. ISSN 0218-0014

Abstract

With the explosive growth of information available on the Internet, more effective data mining and data reasoning mechanism is required to process the sheer volume of information. Belief revision logic offers the expressive power to represent information retrieval contexts, and it also provides a sound inference mechanism to model the nonmonotonicity arising in changing retrieval contexts. Contextual knowledge for information retrieval can be extracted via efficient sequential pattern mining. We present a pattern taxonomy extraction model which efficiently performs the task of discovering descriptive frequent sequential patterns by pruning the noisy associations. This paper illustrates a novel approach of integrating the sequential data mining method into the belief revision based adaptive information agents to improve the agents' learning autonomy and prediction power. Initial experiments show that our belief revision logic and sequential pattern mining based intelligent information agents outperform the vector space model based information agents. Our work opens the door to the development of next generation of intelligent information agents to alleviate the information overload problem.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Historic - Faculty of Business - School of Management and Marketing
Date Deposited: 19 Oct 2017 05:31
Last Modified: 01 Nov 2017 05:10
Uncontrolled Keywords: Sequential pattern mining; nonmonotonic reasoning; belief revision; information agents
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Identification Number or DOI: 10.1142/S0218001407005673
URI: http://eprints.usq.edu.au/id/eprint/30981

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