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Information Selection and Data Compression RapidMiner Library

  • University of Bielsko-Biala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

We present an Information Selection and Data Compression RapidMiner Library, which contains several known instance selection algorithms and several algorithms developed by us for classification and regression tasks. We present the motivation for creating the library and the need for developing new instance selection algorithms or extending the existing ones. We discuss how the library works and how to use it.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Pages135-145
Number of pages11
DOIs
Publication statusPublished - 2016

Publication series

NameStudies in Big Data
Volume19
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

Keywords

  • Data Compression Library
  • Instance Selection Algorithm
  • Maximum Membership Function Value
  • RapidMiner
  • Survival Information

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Artificial Intelligence

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