TY - GEN
T1 - Pattern taxonomy mining for information filtering
AU - Zhou, Xujuan
AU - Li, Yuefeng
AU - Bruza, Peter
AU - Xu, Yue
AU - Lau, Raymond Y. K.
PY - 2008
Y1 - 2008
N2 - 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. © 2008 Springer Berlin Heidelberg.
AB - 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. © 2008 Springer Berlin Heidelberg.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-58349104666&origin=recordpage
U2 - 10.1007/978-3-540-89378-3_42
DO - 10.1007/978-3-540-89378-3_42
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 3540893776
SN - 9783540893776
VL - 5360 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 416
EP - 422
BT - AI 2008: Advances in Artificial Intelligence
PB - Springer Verlag
T2 - 21st Australasian Joint Conference on Artificial Intelligence, AI 2008
Y2 - 1 December 2008 through 5 December 2008
ER -