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» The Generalized Max-Controlled Set Problem
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149
Voted
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 2 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
111
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 2 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
122
Voted
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 2 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
134
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CADE
2006
Springer
16 years 2 months ago
CEL - A Polynomial-Time Reasoner for Life Science Ontologies
CEL (Classifier for EL) is a reasoner for the small description logic EL+ which can be used to compute the subsumption hierarchy induced by EL+ ontologies. The most distinguishing ...
Franz Baader, Carsten Lutz, Boontawee Suntisrivara...
225
Voted
VLDB
2007
ACM
145views Database» more  VLDB 2007»
16 years 2 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar