Practical challenges and recommendations of filter methods for feature selection

Rajab, M. and Wang, D. orcid.org/0000-0003-0068-1005 (2020) Practical challenges and recommendations of filter methods for feature selection. Journal of Information & Knowledge Management, 19 (01). 2040019. ISSN 0219-6492

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 World Scientic Publishing Co. This is an author-produced version of a paper subsequently published in Journal of Information and Knowledge Management. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Feature selection; filter methods; machine learning; data imbalance; ranking methods
Dates:
  • Published (online): 23 March 2020
  • Published: March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
Funding Information:
FunderGrant number
ACADEMY OF MEDICAL SCIENCESSBF004\1052
Depositing User: Symplectic Sheffield
Date Deposited: 08 Jan 2021 16:02
Last Modified: 08 Jan 2021 16:02
Status: Published
Publisher: World Scientific Pub Co Pte Lt
Refereed: Yes
Identification Number: https://doi.org/10.1142/s0219649220400195

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