Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making

Arunachalam, D and Kumar, N (2018) Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making. Expert Systems with Applications, 111. pp. 11-34. ISSN 0957-4174

Abstract

Metadata

Authors/Creators:
  • Arunachalam, D
  • Kumar, N
Copyright, Publisher and Additional Information: Crown Copyright © 2018 Published by Elsevier Ltd. This is an author produced version of a paper published in Expert Systems with Applications. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Big Data Analytics; Data visualisation; Consumer segmentation; Cluster analysis; Business intelligence; Data-driven decisions
Dates:
  • Published: 30 November 2018
  • Accepted: 6 March 2018
  • Published (online): 9 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS)
Depositing User: Symplectic Publications
Date Deposited: 28 Feb 2019 11:17
Last Modified: 09 Mar 2019 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.eswa.2018.03.007

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