Applications of data mining in online retailing : a case for mining prefix-ordered web site navigation paths

Wing Lok YEUNG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

Abstract

Data mining enables the discovery of frequent navigation patterns on retail web sites which help improve their design. Previous work has often focused on discovering 'maximal' navigation patterns without paying much attention to partial navigation attempts. With reference to some discoverable patterns of navigating a hypothetical retail web site, we put forward our case for mining prefixes of frequent web navigation paths.
Original languageEnglish
Title of host publication2014 2nd International Conference on Systems and Informatics, ICSAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages943-947
Number of pages5
DOIs
Publication statusPublished - 1 Jan 2015

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Bibliographical note

Paper presented at the 2014 2nd International Conference on Systems and Informatics (ICSAI), 15-17 November 2014, Shanghai, China.
ISBN of the source publication: 9781479954582

Cite this

YEUNG, W. L. (2015). Applications of data mining in online retailing : a case for mining prefix-ordered web site navigation paths. In 2014 2nd International Conference on Systems and Informatics, ICSAI 2014 (pp. 943-947). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSAI.2014.7009421