Algorithms for clustering data
Algorithms for clustering data
An investigation of documents from the World Wide Web
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The World-Wide Web: quagmire or gold mine?
Communications of the ACM
Attribute-oriented induction in data mining
Advances in knowledge discovery and data mining
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Knowledge Discovery in Databases: An Attribute-Oriented Approach
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Mining Indirect Associations in Web Data
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Web page clustering using a self-organizing map of user navigation patterns
Decision Support Systems - Special issue: Web data mining
Weighted order-dependent clustering and visualization of web navigation patterns
Decision Support Systems
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Particle Swarm Optimization Based Clustering of Web Usage Data
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
An improved algorithm for session identification on web log
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Intelligent web usage clustering based recommender system
Proceedings of the fifth ACM conference on Recommender systems
COWES: clustering web users based on historical web sessions
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Clustering web sessions by levels of page similarity
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Building content clusters based on modelling page pairs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
ADWICE – anomaly detection with real-time incremental clustering
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Towards recommender system using particle swarm optimization based web usage clustering
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Guest editorial: special issue on a decade of mining the Web
Data Mining and Knowledge Discovery
A novel model for user clicks identification based on hidden semi-Markov
Journal of Network and Computer Applications
Online fuzzy medoid based clustering algorithms
Neurocomputing
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The clustering of Web usage sessions based on the access patterns is studied. Access patterns of Web users are extracted from Web server log files, and then organized into sessions which represent episodes of interaction between the Web users and the Web server. Using attribute-oriented induction, the sessions are then generalized according to a page hierarchy which organizes pages based on their contents. These generalized sessions are finally clustered using a hierarchical clustering method. Our experiments on a large real data set show that the approach is efficient and practical for Web mining applications.