Designing Data-Intensive Web Applications
Designing Data-Intensive Web Applications
Mining in the Phrasal Frontier
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
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
The use of web structure and content to identify subjectively interesting web usage patterns
ACM Transactions on Internet Technology (TOIT)
Efficiently mining frequent trees in a forest
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
TreeFinder: a First Step towards XML Data Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
A Tool for Extracting XML Association Rules
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
An Efficient and Scalable Algorithm for Clustering XML Documents by Structure
IEEE Transactions on Knowledge and Data Engineering
XRules: an effective structural classifier for XML data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Model-driven web usage analysis for the evaluation of web application quality
Journal of Web Engineering
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In this paper we report our first extended experiments on Conceptual Web log generation and XML Mining over generated Conceptual logs. Conceptual logs are XML Web server log containing rich information about the structure of a Web site and its content. Furthermore they can be automatically generated starting from a proper logging facility and a conceptual application model. This allows an easier analysis of the results of the mining process, thanks to the rich information provided and allows to perform the data mining process at different levels of abstraction. In this work we use WebML as conceptual model, and XMINEas mining tool; nevertheless the underlying idea is of general validity and can be applied to any other conceptual modeling framework and mining technique.