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» Efficient frequent pattern mining over data streams
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KDD
2001
ACM
262views Data Mining» more  KDD 2001»
15 years 11 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
HICSS
2008
IEEE
119views Biometrics» more  HICSS 2008»
15 years 5 months ago
Tree Mining in Mental Health Domain
The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental ...
Maja Hadzic, Fedja Hadzic, Tharam S. Dillon
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 11 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 5 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
CIKM
2006
Springer
15 years 2 months ago
Privacy preserving sequential pattern mining in distributed databases
Research in the areas of privacy preserving techniques in databases and subsequently in privacy enhancement technologies have witnessed an explosive growth-spurt in recent years. ...
Vishal Kapoor, Pascal Poncelet, François Tr...