By Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand

This e-book constitutes the completely refereed post-proceedings of the sixth foreign Workshop on Mining internet info, WEBKDD 2004, held in Seattle, WA, united states in August 2004 at the side of the tenth ACM SIGKDD overseas convention on wisdom Discovery and information Mining, KDD 2004.

The eleven revised complete papers offered including a close preface went via rounds of reviewing and development and have been carfully chosen for inclusion within the ebook. The prolonged papers are subdivided into four normal teams: internet utilization research and consumer modeling, internet personalization and recommender platforms, seek personalization, and semantic internet mining. The latter includes additionally papers from the joint KDD workshop on Mining for and from the Semantic internet, MSW 2004.

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Extra resources for Advances in Web Mining and Web Usage Analysis: 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25,

Example text

To the best of our knowledge there exists no ETL tool, which specifically supports Web usage analysis. 3 A System for Effective Web Usage Analysis According [13,8], there are two types of data transformations that need to take place during the preprocessing phase of the Web usage analysis process: (i) ETL transformations to populate a data warehouse with data from Web application servers3, and (ii) business intelligence transformations to transform data in order to answer specific business questions with Web usage analysis.

Access date: 07/09/2004. 31. Panos Vassiliadis, Zografoula Vagena, Spiros Skiadopoulos, Nikos Karayannidis, and Timos Sellis. ARKTOS: Towards the Modeling, Design, Control and Execution of ETL Processes. Information Systems, 26(8):537–561, December 2001. 32. Panos Vassiliadis, Alkis Simitsis, and Spiros Skiadopoulos. Conceptual Modeling for ETL Processes. In Proceedings of the 5th ACM International Workshop on Data Warehousing and OLAP, pages 14–21, McLean, VA, USA, November 2002. ACM Press. 33.

Maier covered by our Web usage analysis system, either by integrating existing software packages, or implementing a component from scratch. In this section we briefly outline WUSAN, a system for effective Web usage analysis, which implements the LOORDSM that will be discussed in section 4 on page 24. 1 ROLAP Systems vs. MOLAP Systems While ROLAP provides a straightforward mapping of the multi-dimensional logical data model to a relational DBMS (RDBMS) by using star schemas or related schemas [16], such a mapping to the underlying structures of a genuine multidimensional DBMS is more complex, because data is stored in multi-dimensional arrays (leading to a better performance compared to ROLAP).

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