Knowledge discovery from Web Usage data

Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the sequential pattern mining techniques based Web Access Pattern (WAP) tree on Web logs.

Original languageEnglish
Title of host publicationInternational Conference on Methods and Models in Science and Technology, ICM2ST-10
Pages319-323
Number of pages5
Volume1324
DOIs
Publication statusPublished - 2010
EventInternational Conference on Methods and Models in Science and Technology, ICM2ST-10 - Chandrigarh, India
Duration: 25-12-201026-12-2010

Conference

ConferenceInternational Conference on Methods and Models in Science and Technology, ICM2ST-10
CountryIndia
CityChandrigarh
Period25-12-1026-12-10

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data mining
research and development
lists

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Shivaprasad, G. ; Subbareddy, N. V. ; Acharya, U. Dinesh. / Knowledge discovery from Web Usage data : Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey. International Conference on Methods and Models in Science and Technology, ICM2ST-10. Vol. 1324 2010. pp. 319-323
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abstract = "Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the sequential pattern mining techniques based Web Access Pattern (WAP) tree on Web logs.",
author = "G. Shivaprasad and Subbareddy, {N. V.} and Acharya, {U. Dinesh}",
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Shivaprasad, G, Subbareddy, NV & Acharya, UD 2010, Knowledge discovery from Web Usage data: Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey. in International Conference on Methods and Models in Science and Technology, ICM2ST-10. vol. 1324, pp. 319-323, International Conference on Methods and Models in Science and Technology, ICM2ST-10, Chandrigarh, India, 25-12-10. https://doi.org/10.1063/1.3526223

Knowledge discovery from Web Usage data : Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey. / Shivaprasad, G.; Subbareddy, N. V.; Acharya, U. Dinesh.

International Conference on Methods and Models in Science and Technology, ICM2ST-10. Vol. 1324 2010. p. 319-323.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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