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ICDM
2002
IEEE
93views Data Mining» more  ICDM 2002»
13 years 10 months ago
Learning from Order Examples
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
Toshihiro Kamishima, Shotaro Akaho
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
13 years 10 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
ICDM
2002
IEEE
106views Data Mining» more  ICDM 2002»
13 years 10 months ago
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
Proceedings of IEEE Data Mining, IEEE Press, pp. 581-584, 2002. We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constr...
Michael R. Berthold, Bernd Wiswedel, David E. Patt...
ICDM
2002
IEEE
118views Data Mining» more  ICDM 2002»
13 years 10 months ago
Mining Surveillance Video for Independent Motion Detection
This paper addresses the special applications of data mining techniques in homeland defense. The problem targeted, which is frequently encountered in military/intelligence surveil...
Zhongfei Zhang
ICDM
2002
IEEE
111views Data Mining» more  ICDM 2002»
13 years 10 months ago
An Algebraic Approach to Data Mining: Some Examples
In this paper, we introduce an algebraic approach to the foundations of data mining. Our approach is based upon two algebras of functions de ned over a common state space X and a ...
Robert L. Grossman, Richard G. Larson