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KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 10 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
TKDE
2012
229views Formal Methods» more  TKDE 2012»
12 years 21 days ago
Effective Pattern Discovery for Text Mining
—Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open rese...
Ning Zhong, Yuefeng Li, Sheng-Tang Wu
WIDM
2011
ACM
13 years 5 months ago
Filtered-top-k association discovery
Association mining has been one of the most intensively researched areas of data mining. However, direct uptake of the resulting technologies has been relatively low. This paper e...
Geoffrey I. Webb
AI
2003
Springer
14 years 3 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire
DATAMINE
2007
103views more  DATAMINE 2007»
13 years 10 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...