Skip to main content
placeholder image

The effect of the characteristics of the dataset on the selection stability

Conference Paper


Abstract


  • Abstract—Feature selection is an effective technique to reduce

    the dimensionality of a data set and to select relevant features

    for the domain problem. Recently, stability of feature selection

    methods has gained increasing attention. In fact, it has become a

    crucial factor in determining the goodness of a feature selection

    algorithm besides the learning performance. In this work, we

    conduct an extensive experimental study using verity of data sets

    and different well-known feature selection algorithms in order to

    study the behavior of these algorithms in terms of the stability.

    Index Terms—Feature selection algorithms, stability, dimensionality

    reduction, data distribution, Jaccard Index, sample size.

Authors


  •   Alelyani, Salem (external author)
  •   Liu, Huan (external author)
  •   Wang, Lei

Publication Date


  • 2011

Citation


  • Alelyani, S., Liu, H. & Wang, L. (2011). The effect of the characteristics of the dataset on the selection stability. Proceedings of 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 970-977). USA: IEEE.

Scopus Eid


  • 2-s2.0-84862955776

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3813

Has Global Citation Frequency


Start Page


  • 970

End Page


  • 977

Place Of Publication


  • USA

Abstract


  • Abstract—Feature selection is an effective technique to reduce

    the dimensionality of a data set and to select relevant features

    for the domain problem. Recently, stability of feature selection

    methods has gained increasing attention. In fact, it has become a

    crucial factor in determining the goodness of a feature selection

    algorithm besides the learning performance. In this work, we

    conduct an extensive experimental study using verity of data sets

    and different well-known feature selection algorithms in order to

    study the behavior of these algorithms in terms of the stability.

    Index Terms—Feature selection algorithms, stability, dimensionality

    reduction, data distribution, Jaccard Index, sample size.

Authors


  •   Alelyani, Salem (external author)
  •   Liu, Huan (external author)
  •   Wang, Lei

Publication Date


  • 2011

Citation


  • Alelyani, S., Liu, H. & Wang, L. (2011). The effect of the characteristics of the dataset on the selection stability. Proceedings of 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 970-977). USA: IEEE.

Scopus Eid


  • 2-s2.0-84862955776

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3813

Has Global Citation Frequency


Start Page


  • 970

End Page


  • 977

Place Of Publication


  • USA