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SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 9 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
15 years 5 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
MST
2006
149views more  MST 2006»
14 years 11 months ago
Parameterized Intractability of Distinguishing Substring Selection
A central question in computational biology is the design of genetic markers to distinguish between two given sets of (DNA) sequences. This question is formalized as the NP-comple...
Jens Gramm, Jiong Guo, Rolf Niedermeier
99
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CORR
2006
Springer
143views Education» more  CORR 2006»
14 years 12 months ago
A Knowledge-Based Approach for Selecting Information Sources
Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
Thomas Eiter, Michael Fink, Hans Tompits
NIPS
2007
15 years 1 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu