From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Warehousing and mining Web logs
Proceedings of the 2nd international workshop on Web information and data management
Analyzing clickstreams using subsessions
Proceedings of the 3rd 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
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
Clickstream Data Warehousing
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
The use of web structure and content to identify subjectively interesting web usage patterns
ACM Transactions on Internet Technology (TOIT)
WEBKDD 2002: Web mining for usage patterns & profiles
ACM SIGKDD Explorations Newsletter
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Model-driven development of multidimensional models from web log files
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Towards a model-driven framework for web usage warehouse development
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
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Usage analysis of a Web Information System is a valuable help to predict user needs, to assess system's impact and to guide to its improvement. This is usually done analysing clickstreams, a low-level approach, with huge amounts of data that calls for data warehouse techniques. This paper presents a dimensional model to monitor user behaviour in Higher Education Web Information Systems and an architecture for the extraction, transformation and load process. These have been applied in the development of a data warehouse to monitor the use of SIGARRA, the University of Porto's Higher Education Web Information System. The efficiency and effectiveness of this monitorization method were confirmed by the knowledge extracted from a 3 month period analysis. A brief description of the main results and recommendations are also described.