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

Research output: Contribution to conferencePaper

Standard

Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. / Ting, I-Hsien; Kimble, Chris; Kudenko, Daniel.

2007. 929-930.

Research output: Contribution to conferencePaper

Harvard

Ting, I-H, Kimble, C & Kudenko, D 2007, 'Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users' pp. 929-930.

APA

Ting, I-H., Kimble, C., & Kudenko, D. (2007). Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. 929-930.

Vancouver

Ting I-H, Kimble C, Kudenko D. Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. 2007.

Author

Ting, I-Hsien ; Kimble, Chris ; Kudenko, Daniel. / Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users.

Bibtex - Download

@conference{e2732296880e4c9a9a4b02285a6a8fd6,
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",
author = "I-Hsien Ting and Chris Kimble and Daniel Kudenko",
year = "2007",
language = "Undefined/Unknown",
pages = "929--930",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users

AU - Ting, I-Hsien

AU - Kimble, Chris

AU - Kudenko, Daniel

PY - 2007

Y1 - 2007

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 -