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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 7 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
WWW
2008
ACM
15 years 6 months ago
Discovering geographical-specific interests from web click data
As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents t...
Chang Sheng, Wynne Hsu, Mong-Li Lee
ICDM
2009
IEEE
108views Data Mining» more  ICDM 2009»
16 years 1 months ago
RING: An Integrated Method for Frequent Representative Subgraph Mining
—We propose a novel representative based subgraph mining model. A series of standards and methods are proposed to select invariants. Patterns are mapped into invariant vectors in...
Shijie Zhang, Jiong Yang, Shirong Li
ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
16 years 1 months ago
Mining Periodic Behavior in Dynamic Social Networks
Social interactions that occur regularly typically correspond to significant yet often infrequent and hard to detect interaction patterns. To identify such regular behavior, we p...
Mayank Lahiri, Tanya Y. Berger-Wolf
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
16 years 26 days ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu