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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs
KDD
1995
ACM
133views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...
Ron Kohavi, Dan Sommerfield
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Towards Optimizing Conjunctive Inductive Queries
Inductive queries are queries to an inductive database that generate a set of patterns in a data mining context. Inductive querying poses new challenges to database and data mining...
Johannes Fischer, Luc De Raedt
ICDM
2006
IEEE
166views Data Mining» more  ICDM 2006»
14 years 1 months ago
Mining Generalized Graph Patterns Based on User Examples
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...
Pavel Dmitriev, Carl Lagoze
ADMA
2006
Springer
131views Data Mining» more  ADMA 2006»
14 years 1 months ago
Distance Guided Classification with Gene Expression Programming
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for cons...
Lei Duan, Changjie Tang, Tianqing Zhang, Dagang We...