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KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
ICML
2008
IEEE
14 years 11 months ago
Random classification noise defeats all convex potential boosters
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
Philip M. Long, Rocco A. Servedio
IRI
2008
IEEE
14 years 4 months ago
A conflict-based confidence measure for associative classification
Associative classification has aroused significant attention recently and achieved promising results. In the rule ranking process, the confidence measure is usually used to sort t...
Peerapon Vateekul, Mei-Ling Shyu
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 3 months ago
Automatic Web Page Classification in a Dynamic and Hierarchical Way
Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification...
Xiaogang Peng, Ben Choi
BSN
2009
IEEE
189views Sensor Networks» more  BSN 2009»
13 years 8 months ago
Neural Network Gait Classification for On-Body Inertial Sensors
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...
Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth...