A dilemma in assessing stability of feature selection algorithms

Salem Alelyani, Zheng Zhao, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Scopus citations

Abstract

In realm, feature selection is an effective means for handling high-dimensional data that becomes increasingly abundant. The stability of a feature selection algorithm is becoming crucial for determining the fitness of the algorithm. Below, we review existing methods of stability assessment and analyse how they assess the stability of a feature selection algorithm. A common approach is to evaluate the similarity between the selected subsets of features produced by that algorithm over different training samples or over distributed datasets. We point out challenges facing the existing evaluation methods and suggest how to improve stability assessment of feature selection algorithms.

Original languageEnglish (US)
Title of host publicationProc.- 2011 IEEE International Conference on HPCC 2011 - 2011 IEEE International Workshop on FTDCS 2011 - Workshops of the 2011 Int. Conf. on UIC 2011- Workshops of the 2011 Int. Conf. ATC 2011
Pages701-707
Number of pages7
DOIs
StatePublished - 2011
Event13th IEEE International Workshop on FTDCS 2011, the 8th International Conference on ATC 2011, the 8th International Conference on UIC 2011 and the 13th IEEE International Conference on HPCC 2011 - Banff, AB, Canada
Duration: Sep 2 2011Sep 4 2011

Publication series

NameProc.- 2011 IEEE International Conference on HPCC 2011 - 2011 IEEE International Workshop on FTDCS 2011 -Workshops of the 2011 Int. Conf. on UIC 2011- Workshops of the 2011 Int. Conf. ATC 2011

Other

Other13th IEEE International Workshop on FTDCS 2011, the 8th International Conference on ATC 2011, the 8th International Conference on UIC 2011 and the 13th IEEE International Conference on HPCC 2011
CountryCanada
CityBanff, AB
Period9/2/119/4/11

Keywords

  • Jaccard Index
  • algorithm's stability
  • distributed datasets
  • feature selection
  • stability assessment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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