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

^*Corresponding author for this work

School of Computer Engineering

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

Publication series

Name	AIP Conference Proceedings
Volume	1324
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

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

General Physics and Astronomy

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10.1063/1.3526223

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Shivaprasad, G., Subbareddy, N. V., & Acharya, U. D. (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). (AIP Conference Proceedings; Vol. 1324). https://doi.org/10.1063/1.3526223

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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",

series = "AIP Conference Proceedings",

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, AIP Conference Proceedings, 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 (AIP Conference Proceedings; Vol. 1324).

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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M3 - Conference contribution

AN - SCOPUS:79251583150

SN - 9780735408791

VL - 1324

T3 - AIP Conference Proceedings

SP - 319

EP - 323

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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