Automatic classification of user access patterns on the web

H. A. Ramadhan; K. Shihab; J. Ali; H. Al-Lawati; Z. Al-Khanjri; S. Kutti

Automatic classification of user access patterns on the web

H. A. Ramadhan, K. Shihab, J. Ali^*, H. Al-Lawati, Z. Al-Khanjri, S. Kutti

^*Corresponding author for this work

Chemistry

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

Abstract

This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.

Original language	English
Pages	801-808
Number of pages	8
Publication status	Published - 2003
Event	Proceedings of the International Conference on Internet Computing, IC'03 - Las Vegas, NV, United States Duration: Jun 23 2003 → Jun 26 2003

Other

Other	Proceedings of the International Conference on Internet Computing, IC'03
Country/Territory	United States
City	Las Vegas, NV
Period	6/23/03 → 6/26/03

Keywords

Clustering
Search engines
Web data mining and knowledge discovery

ASJC Scopus subject areas

Computer Networks and Communications

Cite this

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title = "Automatic classification of user access patterns on the web",

abstract = "This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.",

keywords = "Clustering, Search engines, Web data mining and knowledge discovery",

author = "Ramadhan, {H. A.} and K. Shihab and J. Ali and H. Al-Lawati and Z. Al-Khanjri and S. Kutti",

year = "2003",

language = "English",

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note = "Proceedings of the International Conference on Internet Computing, IC'03 ; Conference date: 23-06-2003 Through 26-06-2003",

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TY - CONF

T1 - Automatic classification of user access patterns on the web

AU - Ramadhan, H. A.

AU - Shihab, K.

AU - Ali, J.

AU - Al-Lawati, H.

AU - Al-Khanjri, Z.

AU - Kutti, S.

PY - 2003

Y1 - 2003

N2 - This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.

AB - This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.

KW - Clustering

KW - Search engines

KW - Web data mining and knowledge discovery

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UR - http://www.scopus.com/inward/citedby.url?scp=1842428665&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:1842428665

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EP - 808

T2 - Proceedings of the International Conference on Internet Computing, IC'03

Y2 - 23 June 2003 through 26 June 2003

ER -

Automatic classification of user access patterns on the web

Abstract

Other

Keywords

ASJC Scopus subject areas

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