Feature selection for classification: A review

Jiliang Tang, Salem Alelyani, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingChapter

845 Scopus citations


Nowadays, the growth of the high-throughput technologies has resulted in exponential growth in the harvested data with respect to both dimensionality and sample size. The trend of this growth of the UCI machine learning repository is shown in Figure 2.1. Efficient and effective management of these data becomes increasing challenging. Traditionally, manual management of these datasets has been impractical. Therefore, data mining and machine learning techniques were developed to automatically discover knowledge and recognize patterns from these data.

Original languageEnglish (US)
Title of host publicationData Classification
Subtitle of host publicationAlgorithms and Applications
PublisherCRC Press
Number of pages28
ISBN (Electronic)9781466586758
ISBN (Print)9781466586741
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)
  • Computer Science(all)


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