Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users

I-Hsien Ting; Chris Kimble; Daniel Kudenko

Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users

I-Hsien Ting, Chris Kimble, Daniel Kudenko

Computer Science

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

Abstract

In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified

Original language	Undefined/Unknown
Pages	929-930
Publication status	Published - 2007

Access to Document

http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.71

Cite this

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title = "Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users",

abstract = "In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified",

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AU - Kimble, Chris

AU - Kudenko, Daniel

PY - 2007

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N2 - In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified

AB - In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified

M3 - Paper

SP - 929

EP - 930

ER -