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SIGKDD
2008
149views more  SIGKDD 2008»
14 years 10 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
15 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
OTM
2007
Springer
15 years 4 months ago
Data-Driven Modeling and Coordination of Large Process Structures
Abstract. In the engineering domain, the development of complex products (e.g., cars) necessitates the coordination of thousands of (sub-)processes. One of the biggest challenges f...
Dominic Müller, Manfred Reichert, Joachim Her...
104
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KDD
2002
ACM
145views Data Mining» more  KDD 2002»
15 years 10 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius