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» Mining unexpected rules by pushing user dynamics
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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 4 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
IJBIDM
2011
127views more  IJBIDM 2011»
12 years 11 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
13 years 8 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
IEEEICCI
2002
IEEE
13 years 9 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
DEXA
2008
Springer
151views Database» more  DEXA 2008»
13 years 6 months ago
Extraction of Opposite Sentiments in Classified Free Format Text Reviews
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...