Pattern taxonomy mining for information filtering
Paper
Paper/Presentation Title | Pattern taxonomy mining for information filtering |
---|---|
Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Bruza, Peter (Author), Xu, Yue (Author) and Lau, Raymond Y. K. (Author) |
Editors | Wobcke, W. and Zhang, M. |
Journal or Proceedings Title | Advances in Artificial Intelligence 2008 |
Journal Citation | 5360, pp. 416-422 |
Year | 2008 |
Place of Publication | Berlin, Germany |
ISBN | 9783540893776 |
9783540893783 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-540-89378-3_42 |
Conference/Event | AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence |
Event Details | AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence Event Date 01 to end of 05 Dec 2008 Event Location Auckland, New Zealand |
Abstract | 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. |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y8y/pattern-taxonomy-mining-for-information-filtering
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