Silk from a sow's ear: extracting usable structures from the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A database perspective on knowledge discovery
Communications of the ACM
The World-Wide Web: quagmire or gold mine?
Communications of the ACM
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
Designing Data-Intensive Web Applications
Designing Data-Intensive Web Applications
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Discovery of Interesting Usage Patterns from Web Data
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
LOGML: Log Markup Language for Web Usage Mining
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
Conceptual-Level Log Analysis for the Evaluation of Web Application Quality
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
On Leveraging User Access Patterns for Topic Specific Crawling
Data Mining and Knowledge Discovery
Enhancing Product Recommender Systems on Sparse Binary Data
Data Mining and Knowledge Discovery
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
WebKDD 2004: web mining and web usage analysis post-workshop report
ACM SIGKDD Explorations Newsletter
Web Semantics: Science, Services and Agents on the World Wide Web
Using and learning semantics in frequent subgraph mining
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Ontology-Based rummaging mechanisms for the interpretation of web usage patterns
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Understanding users' behavior with software operation data mining
Computers in Human Behavior
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We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs – called conceptual logs – that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool. Conceptual logs integrate the usual information about user requests with meta-data concerning the structure of the content and the hypertext of a Web application. We apply a data mining language (MINE RULE) to conceptual logs in order to identify different types of patterns, such as: recurrent navigation paths, most frequently visited page contents, and anomalies (e.g., intrusion attempts or harmful usages of resources). We show that the exploitation of the nuggets of information embedded in the logs and of the specialized mining constructs provided by the query languages enables the rapid customization of the mining procedures following to the Web developers’ need. Given our on-field experience, we also suggest that the use of queries in advanced languages, as opposed to ad-hoc heuristics, eases the specification and the discovery of large spectrum of patterns.