By Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand
This booklet constitutes the completely refereed post-proceedings of the sixth overseas Workshop on Mining net information, WEBKDD 2004, held in Seattle, WA, united states in August 2004 along with the tenth ACM SIGKDD overseas convention on wisdom Discovery and information Mining, KDD 2004.
The eleven revised complete papers provided including a close preface went via rounds of reviewing and development and have been carfully chosen for inclusion within the booklet. The prolonged papers are subdivided into four basic teams: net utilization research and consumer modeling, internet personalization and recommender platforms, seek personalization, and semantic net mining. The latter comprises additionally papers from the joint KDD workshop on Mining for and from the Semantic net, MSW 2004.
Read Online or Download 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, PDF
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Extra info 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,
The details of the whole process are given below. 1 User and Visit Session Identification A web log is a text ﬁle which records information regarding users’ requests to a web server. A typical web log entry contains a client address, the requested date address, a time-stamp, and other related information. For any web access log data, several pre-processing tasks have to be performed before applying data mining techniques for pattern discovery. The pre-processing tasks usually include user identiﬁcation, visit session identiﬁcation, and transaction identiﬁcation.
2 From the academic perspective there exists a sequence of papers [31,32,33] that describe the system Arktos/Arktos II, which is a tool that models and realizes the ETL process and ETL transformations. An ETL scenario can be modeled graphically by using a graphical speciﬁcation language, based on a formal conceptual and logical model, which describe data sources, data targets and the transformations between the two. Although both Arktos projects cover the complete ETL process, their meta-models do not conform to emerging standards like the Common Warehouse Meta-Model (CWM)  and, similar to the commercial tools mentioned, makes it diﬃcult to integrate the tool into existing heterogeneous data warehousing environments.
If attributes belonging to the chosen valid semantic basis are removed, another valid semantic basis must be chosen to create a new ETLToDimensionFactory for the dimension. Improving the Web Usage Analysis Process 31 be assigned to other schemas playing the role of a dimension. If a star schema’s etl-method is invoked for a single vector, it calls the abstract dimensions’ etlmethods and executes ETL coordinate transformations. If a dimension is hybrid, that is it is the central table of a normalized dimension (confer ) or another data mart (involving additional (sub-)dimensions), its etl-method automatically invokes the etl-method of each additional (sub-)dimension.
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, by Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand