Students' use of multimedia science instruction: designing for the MTV generation?
Journal of Educational Multimedia and Hypermedia
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Discovering Patterns from Large and Dynamic Sequential Data
Journal of Intelligent Information Systems
Readings in information visualization
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
Automatic personalization based on Web usage mining
Communications of the ACM
Learning to construct knowledge bases from the World Wide Web
Artificial Intelligence - Special issue on Intelligent internet systems
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining for Measuring and Improving the Success of Web Sites
Data Mining and Knowledge Discovery
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
WUM - A Tool for WWW Ulitization Analysis
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
VISVIP: 3D Visualization of Paths through Web Sites
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Findings from a Practical Project Concerning Web Usage Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Implicit measures of lostness and success in web navigation
Interacting with Computers
Preference-Function Algorithm: a novel approach for selection of the users' preferred websites
International Journal of Business Intelligence and Data Mining
Web Semantics: Science, Services and Agents on the World Wide Web
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Monitoring the quality of meta-data in web portals using statistics, visualization and data mining
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Using and learning semantics in frequent subgraph mining
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
A random indexing approach for web user clustering and web prefetching
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Information Systems and e-Business Management
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To satisfy potential customers of a Web site and to lead them to the goods offered by the site, one should support them in the course of navigation they have embarked on. This paper presents the tool STRATDYN, developed as an add-on module to the Web Usage Miner WUM. WUM not only discovers frequent sequences, but it also allows the inspection of the different paths through the site. STRATDYN extends these capabilities: It tests differences between navigation patterns, described by a number of measures of success and strategy, for statistical significance. This can help to single out the relevant differences between users' behaviors, and it can determine whether a change in the site's design has had the desired effect. STRATDYN also exploits the site's semantics in the classification of navigation behavior and in the visualization of results, displaying navigation patterns as alternative paths through a strategy space. This helps to understand the Web logs, and to communicate analysis results to non-experts. Two case studies investigate search in an online catalog and interaction with an electronic shopping agent in an online store. They show how the results of analysis can lead to proposals for improving a Web site. These highlight the importance of investigating measures not only of eventual success, but also of process, to help users navigate towards the site's offers.