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PKDD
2007
Springer
112views Data Mining» more  PKDD 2007»
14 years 4 months ago
Association Mining in Large Databases: A Re-examination of Its Measures
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
Tianyi Wu, Yuguo Chen, Jiawei Han
IJAR
2011
118views more  IJAR 2011»
13 years 1 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 11 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 10 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
GCC
2005
Springer
14 years 3 months ago
A Hybrid Workflow Paradigm for Integrating Self-managing Domain-Specific Applications
Abstract. A hybrid workflow system could be treated as a domain-across infrastructure by incorporating different workflow systems and WfMSs engaged in the complex business processi...
Wan-Chun Dou, Shing-Chi Cheung, Guihai Chen, Jie W...