Pattern taxonomy mining for information filtering

Zhou, Xujuan and Li, Yuefeng and Bruza, Peter and Xu, Yue and Lau, Raymond Y. K. (2008) Pattern taxonomy mining for information filtering. In: 21st Australasian Joint Conference on Artificial Intelligence, 1-5 Dec 2008, Auckland, New Zealand.

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This paper examines a new approach to information filtering by using data mining method. This new model consists of two components, namely, topic filtering and pattern taxonomy mining. The aim of using topic filtering is to quickly filter out irrelevant information based on the user profiles. The aim of applying pattern taxonomy mining techniques is to rationalize the data relevance on the reduced data set. Our experiments on Reuters RCV1(Reuters Corpus Volume 1) data collection show that more effective and efficient information access has been achieved by combining the strength of information filtering and data mining method.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Electronic version of paper not held.
Faculty / Department / School: No Faculty
Date Deposited: 29 Nov 2017 04:37
Last Modified: 01 Dec 2017 01:26
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Identification Number or DOI: 10.1007/978-3-540-89378-3_42

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