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

Wing Lok YEUNG

doi:10.1109/ICSAI.2014.7009421

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

Wing Lok YEUNG

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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 language	English
Title of host publication	2014 2nd International Conference on Systems and Informatics, ICSAI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	943-947
Number of pages	5
DOIs	https://doi.org/10.1109/ICSAI.2014.7009421
Publication status	Published - 1 Jan 2015

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

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10.1109/ICSAI.2014.7009421

Cite this

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

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.",

author = "YEUNG, {Wing Lok}",

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Applications of data mining in online retailing : a case for mining prefix-ordered web site navigation paths. / YEUNG, Wing Lok.

2014 2nd International Conference on Systems and Informatics, ICSAI 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 943-947.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AB - 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.

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PB - Institute of Electrical and Electronics Engineers Inc.

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

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Bibliographical note

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