A User Clustering Algorithm on Web Usage Mining

被引：0

作者：

Sun Hao ^{[1
]}

Shen Zhaoxiang ^{[1
]}

Zhang Bingbing ^{[2
]}

机构：

[1] China Telecom, China Telecom Syst Integrat Global, Beijing, Peoples R China

[2] CUMT, Sch Comp Sci, Xuzhou, Peoples R China

来源：

PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017) | 2017年

关键词：

component; User Clustering; Similarity Measurement Method; DBSCAN; Chameleon; DISCOVERY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Data mining on web log files is called Web Usage Mining (WUM). User clustering based on access patterns is an important part of WUM. Most papers just consider web pages hits, but ignore the succession of pages during user clustering. Therefore, a new user similarity measurement method is put forward in this paper, which takes not only web page hits but also the succession of pages into account. And at the same time, a new clustering algorithm named DBSCAN&Chameleon based on DBSCAN and Chameleon is introduced in this paper. Finally, experiments show that the clustering quality of this algorithm is much higher than DBSCAN and Chameleon.

引用

页码：919 / 922

页数：4

共 50 条

[1] A MapReduce-Based User Identification Algorithm in Web Usage Mining
Srivastava, Mitali
Garg, Rakhi
Mishra, P. K.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING, 2018, 13 (02) : 11 - 23
[2] A web usage mining algorithm for web personalization
Picariello, Antonio
Sansone, Carlo
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2008, 2 (04): : 219 - 230
[3] Research on Improved Clustering Algorithm on Web Usage Mining based on Scientific Analysis of Web Materials
Li, Bin
Yang, Jin
Liu, Caiming
Zhang, Jiandong
Zhang, Yan
ADVANCED RESEARCH ON MECHANICAL ENGINEERING, INDUSTRY AND MANUFACTURING ENGINEERING, PTS 1 AND 2, 2011, 63-64 : 863 - +
[4] AntClust:: Ant clustering and web usage mining
Labroche, N
Monmarché, N
Venturini, G
GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS, 2003, 2723 : 25 - 36
[5] User controlled filtering in WEB usage mining
Petrounias, I.
Tseng, A.
Kodogiannis, V.
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2005, 5 (03) : 165 - 177
[6] Web Usage Mining Based on Fuzzy Clustering
Yu, Ya-Xiu
Wang, Xin-Wei
2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 268 - 271
[7] Study on Web Mining Algorithm Based on Usage Mining
Han, Qingtian
Gao, Xiaoyan
Wu, Wenguo
9TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1 AND 2: MULTICULTURAL CREATION AND DESIGN - CAID& CD 2008, 2008, : 1121 - +
[8] SEMANTIC CHAMELEON CLUSTERING ANALYSIS ALGORITHM WITH RECOMMENDATION RULES FOR EFFICIENT WEB USAGE MINING
Prasanth, Anupama
Valsala, Sandhia
2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018, : 149 - 154
[9] A web usage mining framework for mining evolving user profiles in dynamic Web sites
Nasraoui, Olfa
Soliman, Maha
Saka, Esin
Badia, Antonio
Germain, Richard
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2008, 20 (02) : 202 - 215
[10] Web Usage Mining based on Clustering of Browsing Features
Lee, Chu-Hui
Fu, Yu-Hsiang
ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS, 2008, : 281 - 286

← 1 2 3 4 5 →