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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 3 months ago
Discovering popular co-cited communities in blogspaces
In a blogspace, citation behaviors reflect interests of bloggers. To fully get insight into the latent information in a blogspace, in this paper, we intend to mine popular co-cit...
Meng-Fen Chiang, Wen-Chih Peng, Chia-Hao Lo
ISI
2007
Springer
14 years 3 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 3 months ago
Adding Semantics to Email Clustering
This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Y...
APIN
2008
116views more  APIN 2008»
13 years 9 months ago
Updating generalized association rules with evolving taxonomies
Abstract-Mining generalized association rules between items in the presence of taxonomy has been recognized as an important model in data mining. Earlier work on mining generalized...
Ming-Cheng Tseng, Wen-Yang Lin, Rong Jeng