loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Koichiro Mihara ; Masahiro Terabe and Kazuo Hashimoto

Affiliation: Graduate School of Information Sciences, Tohoku University, Japan

Keyword(s): Web access log analysis, Web Usage Mining, Page browsing time, Closed Frequent Embedded DAG Mining, Clustering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems ; Web Mining

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.226.93.207

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mihara, K.; Terabe, M. and Hashimoto, K. (2008). A NOVEL WEB USAGE MINING METHOD - Mining and Clustering of DAG Access Patterns Considering Page Browsing Time. In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-8111-27-2; ISSN 2184-3252, SciTePress, pages 313-320. DOI: 10.5220/0001528303130320

@conference{webist08,
author={Koichiro Mihara. and Masahiro Terabe. and Kazuo Hashimoto.},
title={A NOVEL WEB USAGE MINING METHOD - Mining and Clustering of DAG Access Patterns Considering Page Browsing Time},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2008},
pages={313-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001528303130320},
isbn={978-989-8111-27-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - A NOVEL WEB USAGE MINING METHOD - Mining and Clustering of DAG Access Patterns Considering Page Browsing Time
SN - 978-989-8111-27-2
IS - 2184-3252
AU - Mihara, K.
AU - Terabe, M.
AU - Hashimoto, K.
PY - 2008
SP - 313
EP - 320
DO - 10.5220/0001528303130320
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic