Web user clustering from access log using belief function
Proceedings of the 1st international conference on Knowledge capture
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Optimizing Pattern Queries for Web Access Logs
ADBIS '01 Proceedings of the 5th East European Conference on Advances in Databases and Information Systems
Categorizing Computing Assets According to Communication Patterns
Advanced Lectures on Networking, NETWORKING 2002 [This book presents the revised version of seven tutorials given at the NETWORKING 2002 Conference in Pisa, Italy in May 2002]
Categorizing computing assets according to communication patterns
Advanced lectures on networking
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Online Web Mining Transactions Association Rules using Frame Metadata Model
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
A framework to discover, maintain and use the knowledge extracted from web browsing
WISICT '04 Proceedings of the winter international synposium on Information and communication technologies
A process of knowledge discovery from web log data: Systematization and critical review
Journal of Intelligent Information Systems
Linguistic object-oriented web-usage mining
International Journal of Approximate Reasoning
Preference-Function Algorithm: a novel approach for selection of the users' preferred websites
International Journal of Business Intelligence and Data Mining
Adaptive Web SitesA Knowledge Extraction from Web Data Approach
Proceedings of the 2008 conference on Adaptive Web Sites: A Knowledge Extraction from Web Data Approach
User's interests navigation model based on hidden Markov model
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Expert Systems with Applications: An International Journal
Effectively capturing user navigation paths in the web using web server logs
ICWE'05 Proceedings of the 5th international conference on Web Engineering
A new algorithm to discover page-action rules on web
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Web usage mining with evolutionary extraction of temporal fuzzy association rules
Knowledge-Based Systems
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Web-based organizations often generate and collect large volumes of data in their daily operations. Analyzing such data involves the discovery of meaningful relationships from a large collection of primarily unstructured data, often stored in Web server access logs. While traditional domains for data mining, such as point of sale databases, have naturally defined transactions, there is no convenient method of clustering web references into transactions. This paper identifies a model of user browsing behavior that separates web page references into those made for navigation purposes and those for information content purposes. A transaction identification method based on the browsing model is defined and successfully tested against other methods, such as the maximal forward reference algorithm proposed in CPY96. Transactions identified by the proposed methods are used to discover association rules from real world data using the WEBMINER system MJH+96.