Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Information gathering in the World-Wide Web: the W3QL query language and the W3QS system
ACM Transactions on Database Systems (TODS)
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
IEEE Transactions on Knowledge and Data Engineering
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
WebOQL: Restructuring Documents, Databases, and Webs
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Declarative Language for Querying and Restructuring the Web
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
Efficient Mining of Partial Periodic Patterns in Time Series Database
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
A process of knowledge discovery from web log data: Systematization and critical review
Journal of Intelligent Information Systems
Incremental and interactive mining of web traversal patterns
Information Sciences: an International Journal
VIPAS: virtual link powered authority search in the web
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
An incremental data mining algorithm for discovering web access patterns
International Journal of Business Intelligence and Data Mining
A probabilistic model for web usage mining
TELE-INFO'09 Proceedings of the 8th Wseas international conference on Telecommunications and informatics
Mining Frequent Purchase Behavior Patterns for Commercial Websites
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Efficient approach for interactively mining web traversal patterns
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
A framework of hybrid recommender system for web personalisation
International Journal of Business Information Systems
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Existing methods for knowledge discovery in the Web are mostly server-oriented and approaches taken are affected by the use of proxy servers. As a result, it is difficult to capture individual Web user behavior from the current log mechanism. As an effort to remedy this problem, we develop in this paper methods for design and implementation of an access pattern collection server to conduct data mining in the Web. We also devise an innovative method, called pages conversion, which converts the original Web pages to enciphered ones so that the devised data collection mechanism will not be deliberately bypassed. With the concept of page conversion, the methods we proposed involves a mechanism of software downloading to resolve the difficulty imposed by proxy servers and to effectively capture the Web user behavior. Using the devised mechanism, traversal patterns are generated and compared to those produced by the ordinary Web servers to validate our results. It is shown that the traversal patterns resulting from the devised system are not only more informative but also more accurate than those generated by ordinary Web servers, showing the importance and the usefulness of the mechanism devised.