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114
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SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 24 days 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...
145
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 9 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
134
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COLT
2004
Springer
15 years 7 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
118
Voted
IEEECIT
2010
IEEE
15 years 1 months ago
The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis
Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen ...
ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang
167
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IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
15 years 10 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...