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Statistics / Dimension reduction / C4.5 algorithm / Feature selection / K-nearest neighbor algorithm / Pattern recognition / Feature extraction / Ross Quinlan / Random forest / Machine learning / Artificial intelligence / Decision trees


Empirical Evaluation of Feature Subset Algorithms based on a Real-World Data Set
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Document Date: 2009-10-09 07:20:43


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City

Leipzig / /

Company

IBM / John Wiley&Sons Inc. / Neural Networks / /

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Facility

Institute of Computer Vision / /

IndustryTerm

search strategies / purpose hardware / data mining applications / statistical feature search strategies / statistical classification algorithm / austenitic steel / data mining tools / Decision tree induction algorithms / greedy search / feature selection algorithm / mining / wrapper algorithms / computing / non-optimal feature search strategy / exhaustive search / particular algorithm / learning algorithm / search methods / /

NaturalFeature

Shannon / /

Organization

Institute of Computer Vision and Applied Computer Sciences Arno-Nitzsche-Str. / /

Person

R.Lopez de Mantaras / Eric P. Smith / M. Nadler / Morgan Kaufmann / /

Product

C4 / /

ProgrammingLanguage

C / /

ProvinceOrState

New York / /

PublishedMedium

Machine Learning / /

Technology

learning algorithm / particular algorithm / x-ray / wrapper algorithms / 2.2 Contextual Merit Algorithm / 2 Feature Subset Selection Algorithms / data modeling / Data Mining / feature selection algorithm / Machine Learning / statistical classification algorithm / C4.5 algorithm / Decision tree induction algorithms / /

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http /

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