APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data

I-Hsien Ting; Lillian Clark; Chris Kimble; Daniel Kudenko; Peter Wright

APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data

I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright

Computer Science

Research output: Contribution to conference › Paper › peer-review

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’s browsing patterns. The paper also includes case study that is used to illustrate the use of the APD and to evaluate its performance.

Original language	Undefined/Unknown
Pages	66-73
Publication status	Published - 2007

Access to Document

http://dx.doi.org/10.1007/978-3-540-74827-4_9

Cite this

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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. ",

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T1 - APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data

AU - Ting, I-Hsien

AU - Clark, Lillian

AU - Kimble, Chris

AU - Kudenko, Daniel

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

ER -