A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time

Koichiro Mihara, Masahiro Terabe, Kazuo Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a novel method to analyze web access logs. The proposed method defines a web access pattern as a DAG with page browsing time, and extracts the patterns using the closed frequent embedded DAG mining algorithm, DIGDAG. The proposed method succeeds in extracting as small number of patterns as necessary minimum, and enables more efficient analysis by clustering the extracted results.

Original languageEnglish
Title of host publicationWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings
Pages313-320
Number of pages8
Volume2
Publication statusPublished - 2008
Externally publishedYes
EventWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies - Funchal, Madeira
Duration: 2008 May 42008 May 7

Other

OtherWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies
CityFunchal, Madeira
Period08/5/408/5/7

Fingerprint

Web usage mining
Clustering
World Wide Web

Keywords

  • Closed frequent embedded DAG mining
  • Clustering
  • Page browsing time
  • Web access log analysis
  • Web usage mining

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management

Cite this

Mihara, K., Terabe, M., & Hashimoto, K. (2008). A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time. In WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings (Vol. 2, pp. 313-320)

A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time. / Mihara, Koichiro; Terabe, Masahiro; Hashimoto, Kazuo.

WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings. Vol. 2 2008. p. 313-320.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mihara, K, Terabe, M & Hashimoto, K 2008, A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time. in WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings. vol. 2, pp. 313-320, WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Funchal, Madeira, 08/5/4.
Mihara K, Terabe M, Hashimoto K. A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time. In WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings. Vol. 2. 2008. p. 313-320
Mihara, Koichiro ; Terabe, Masahiro ; Hashimoto, Kazuo. / A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time. WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings. Vol. 2 2008. pp. 313-320
@inproceedings{b82eb5d331324ea492078cb3a32be6f8,
title = "A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time",
abstract = "In this paper, we propose a novel method to analyze web access logs. The proposed method defines a web access pattern as a DAG with page browsing time, and extracts the patterns using the closed frequent embedded DAG mining algorithm, DIGDAG. The proposed method succeeds in extracting as small number of patterns as necessary minimum, and enables more efficient analysis by clustering the extracted results.",
keywords = "Closed frequent embedded DAG mining, Clustering, Page browsing time, Web access log analysis, Web usage mining",
author = "Koichiro Mihara and Masahiro Terabe and Kazuo Hashimoto",
year = "2008",
language = "English",
isbn = "9789898111265",
volume = "2",
pages = "313--320",
booktitle = "WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings",

}

TY - GEN

T1 - A novel web usage mining method - Mining and clustering of DAG access patterns considering page browsing time

AU - Mihara, Koichiro

AU - Terabe, Masahiro

AU - Hashimoto, Kazuo

PY - 2008

Y1 - 2008

N2 - In this paper, we propose a novel method to analyze web access logs. The proposed method defines a web access pattern as a DAG with page browsing time, and extracts the patterns using the closed frequent embedded DAG mining algorithm, DIGDAG. The proposed method succeeds in extracting as small number of patterns as necessary minimum, and enables more efficient analysis by clustering the extracted results.

AB - In this paper, we propose a novel method to analyze web access logs. The proposed method defines a web access pattern as a DAG with page browsing time, and extracts the patterns using the closed frequent embedded DAG mining algorithm, DIGDAG. The proposed method succeeds in extracting as small number of patterns as necessary minimum, and enables more efficient analysis by clustering the extracted results.

KW - Closed frequent embedded DAG mining

KW - Clustering

KW - Page browsing time

KW - Web access log analysis

KW - Web usage mining

UR - http://www.scopus.com/inward/record.url?scp=58149175953&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58149175953&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:58149175953

SN - 9789898111265

VL - 2

SP - 313

EP - 320

BT - WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings

ER -