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
T3 - WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings
SP - 313
EP - 320
BT - WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings
T2 - WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies
Y2 - 4 May 2008 through 7 May 2008
ER -