Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
COMPSAC '00 24th International Computer Software and Applications Conference
Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Data Mining Algorithms for Web Pre-Fetching
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
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In the past, a number of researches have been devoted to web mining. However, only page browsing behaviors have been studied. The actions performed in the pages were omitted. To the best of our knowledge, no previous researches were able to find out page-action browsing sequences. This paper proposes an algorithm, called WebPAN, to analyze customers' browsing pages and their action paths. The algorithm's efficiency was examined in our prototype. This study would help website managers to restructure their website layouts or advertisement positions more correctly in electronic commerce.