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APD-A tool for identifying behavioural patterns automatically from clickstream data

Research output: Contribution to conferencePaperpeer-review

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APD-A tool for identifying behavioural patterns automatically from clickstream data. / Ting, I.; Clark, Lillian; Kimble, C.; Kudenko, D.; Wright, Peter.

2007. 66-73 Paper presented at Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy.

Research output: Contribution to conferencePaperpeer-review

Harvard

Ting, I, Clark, L, Kimble, C, Kudenko, D & Wright, P 2007, 'APD-A tool for identifying behavioural patterns automatically from clickstream data', Paper presented at Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, 12/09/07 - 14/09/07 pp. 66-73. <http://www.springerlink.com/content/3546913450q8vpx3/>

APA

Ting, I., Clark, L., Kimble, C., Kudenko, D., & Wright, P. (2007). APD-A tool for identifying behavioural patterns automatically from clickstream data. 66-73. Paper presented at Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy. http://www.springerlink.com/content/3546913450q8vpx3/

Vancouver

Ting I, Clark L, Kimble C, Kudenko D, Wright P. APD-A tool for identifying behavioural patterns automatically from clickstream data. 2007. Paper presented at Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy.

Author

Ting, I. ; Clark, Lillian ; Kimble, C. ; Kudenko, D. ; Wright, Peter. / APD-A tool for identifying behavioural patterns automatically from clickstream data. Paper presented at Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy.8 p.

Bibtex

@conference{3b0ececd61524d0198a717b31b6147f2,
title = "APD-A tool for identifying behavioural patterns automatically from clickstream data",
abstract = "Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to identify and categorise behavioural patterns. In this paper, we introduce the Automatic Pattern Discovery (APD) method, a technique for automated processing of Clickstream data to identify a user{\textquoteright}s browsing patterns. The paper also includes case study that is used to illustrate the use of the APD and to evaluate its performance.",
author = "I. Ting and Lillian Clark and C. Kimble and D. Kudenko and Peter Wright",
year = "2007",
language = "English",
pages = "66--73",
note = "Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks ; Conference date: 12-09-2007 Through 14-09-2007",

}

RIS

TY - CONF

T1 - APD-A tool for identifying behavioural patterns automatically from clickstream data

AU - Ting, I.

AU - Clark, Lillian

AU - Kimble, C.

AU - Kudenko, D.

AU - Wright, Peter

PY - 2007

Y1 - 2007

N2 - Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to identify and categorise behavioural patterns. In this paper, we introduce the Automatic Pattern Discovery (APD) method, a technique for automated processing of Clickstream data to identify a user’s browsing patterns. The paper also includes case study that is used to illustrate the use of the APD and to evaluate its performance.

AB - Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to identify and categorise behavioural patterns. In this paper, we introduce the Automatic Pattern Discovery (APD) method, a technique for automated processing of Clickstream data to identify a user’s browsing patterns. The paper also includes case study that is used to illustrate the use of the APD and to evaluate its performance.

M3 - Paper

SP - 66

EP - 73

T2 - Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks

Y2 - 12 September 2007 through 14 September 2007

ER -

ID: 169619