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» Learning Approaches to Wrapper Induction
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DATAMINE
2002
125views more  DATAMINE 2002»
13 years 10 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
SIGMOD
2006
ACM
107views Database» more  SIGMOD 2006»
14 years 11 months ago
Documentum ECI self-repairing wrappers: performance analysis
Documentum Enterprise Content Integration (ECI) services is a content integration middleware that provides one-query access to the Intranet and Internet content resources. The ECI...
Boris Chidlovskii, Bruno Roustant, Marc Brette
KDD
1995
ACM
133views Data Mining» more  KDD 1995»
14 years 2 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
AI
2009
Springer
14 years 5 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
JAIR
2006
105views more  JAIR 2006»
13 years 10 months ago
Active Learning with Multiple Views
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
Ion Muslea, Steven Minton, Craig A. Knoblock