The OLAP market: state of the art and research issues
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Mining e-commerce data: the good, the bad, and the ugly
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGMOD Record
Arktos: towards the modeling, design, control and execution of ETL processes
Information Systems - Data extraction, cleaning and reconciliation
Common Warehouse Metamodel Developer's Guide
Common Warehouse Metamodel Developer's Guide
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
On Using a Warehouse to Analyze Web Logs
Distributed and Parallel Databases
Using e-CRM for a unified view of the customer
Communications of the ACM - Digital rights management
Integrating E-Commerce and Data Mining: Architecture and Challenges
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Case for Analytical Customer Relationship Management
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
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
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Features to consider in a data warehousing system
Communications of the ACM - Blueprint for the future of high-performance networking
Reconsidering Multi-Dimensional schemas
ACM SIGMOD Record
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
International Journal of Intelligent Systems - Granular Computing and Data Mining
A framework for the design of ETL scenarios
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
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Integrating OLAP and Web usage analysis in a data warehousing environment is a promising approach for sophisticated analysis of the Web channel in multi-channel environments of organizations. Populating the data warehouse is a laborious and time-consuming task (especially for small projects), which is – in practice – a big obstacle for concrete ECRM projects. Especially if Web usage analysis researchers need to conduct experiments with a Web warehouse, an intuitive and easy to deploy ETL component is essential. In this paper we propose a logical object-oriented relational data storage model in UML, which is based on a formal model. A concrete Java instance of our model simplifies modeling and automating the ETL process. The Java instance of our model has been integrated into our WUSAN (Web USage ANalyis) system. Finally, we illustrate the usage of our model for Web usage analysis purposes, though the model is principally not restricted to this domain.