Knowledge discovery from Web Usage data: Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey

G. Shivaprasad; N. V. Subbareddy; U. Dinesh Acharya

doi: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

G. Shivaprasad, N. V. Subbareddy, U. Dinesh Acharya

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	International Conference on Methods and Models in Science and Technology, ICM2ST-10
Pages	319-323
Number of pages	5
Volume	1324
DOIs	https://doi.org/10.1063/1.3526223
Publication status	Published - 2010
Event	International Conference on Methods and Models in Science and Technology, ICM2ST-10 - Chandrigarh, India Duration: 25-12-2010 → 26-12-2010

Conference

Conference	International Conference on Methods and Models in Science and Technology, ICM2ST-10
Country/Territory	India
City	Chandrigarh
Period	25-12-10 → 26-12-10

All Science Journal Classification (ASJC) codes

Physics and Astronomy(all)

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10.1063/1.3526223

Cite this

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title = "Knowledge discovery from Web Usage data: Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey",

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}",

year = "2010",

doi = "10.1063/1.3526223",

language = "English",

isbn = "9780735408791",

volume = "1324",

pages = "319--323",

booktitle = "International Conference on Methods and Models in Science and Technology, ICM2ST-10",

note = "International Conference on Methods and Models in Science and Technology, ICM2ST-10 ; Conference date: 25-12-2010 Through 26-12-2010",

}

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 proceeding › Conference contribution

TY - GEN

T1 - Knowledge discovery from Web Usage data

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AU - Shivaprasad, G.

AU - Subbareddy, N. V.

AU - Acharya, U. Dinesh

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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BT - International Conference on Methods and Models in Science and Technology, ICM2ST-10

Y2 - 25 December 2010 through 26 December 2010

ER -

Knowledge discovery from Web Usage data: Research and development of Web Access Pattern tree based sequential pattern mining techniques: A survey

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