Family of instance reduction algorithms versus other approaches
I Czarnowski, P Jędrzejowicz - … and Web Mining: Proceedings of the …, 2005 - Springer
Intelligent Information Processing and Web Mining: Proceedings of the …, 2005•Springer
The goal of the paper is to compare the performance of instance reduction algorithms (IRA)
with other approaches. The paper briefly describes a family of instance reduction algorithms
proposed by the authors. To evaluate their performance the computational experiment is
carried out. The experiment involves comparing a performance of IRA with several other
approaches using alternative machine learning classification tools.
with other approaches. The paper briefly describes a family of instance reduction algorithms
proposed by the authors. To evaluate their performance the computational experiment is
carried out. The experiment involves comparing a performance of IRA with several other
approaches using alternative machine learning classification tools.
Abstract
The goal of the paper is to compare the performance of instance reduction algorithms (IRA) with other approaches. The paper briefly describes a family of instance reduction algorithms proposed by the authors. To evaluate their performance the computational experiment is carried out. The experiment involves comparing a performance of IRA with several other approaches using alternative machine learning classification tools.
Springer
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