Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Automatic personalization based on Web usage mining
Communications of the ACM
User Modeling and User-Adapted Interaction
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
AHA! The adaptive hypermedia architecture
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
A Web page prediction model based on click-stream tree representation of user behavior
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering prediction rules in AHA! courses
UM'03 Proceedings of the 9th international conference on User modeling
Interface feature prioritization for web services: Case of online flight reservations
Computers in Human Behavior
Harnessing the Power of Semantics-Based, Aspect-Oriented Adaptation for amacont
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Knowledge-Based Systems
Web usage mining approach to detect student's collaborative skills
Journal of Web Engineering
An open approach for learning educational data mining
Proceedings of the 13th Koli Calling International Conference on Computing Education Research
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Most adaptive web-based hypermedia systems adapt presentation of the content and/or navigation using predefined set of rules. Considering different behavior and preferences of each user it may be hard to generalize and construct all appropriate rules in advance. This problem is more noticeable in educational adaptive hypermedia systems, where adaptation to individual learning style of a student is important for the student to effectively assess particular domain. In this paper we present techniques for data mining, which can be used to discover knowledge about students' behavior during learning, as well as techniques, which take advantage of such knowledge to recommend students lessons they should study next. We also describe a process of recommendation based on knowledge discovery and present an architecture of a web-based system, which uses proposed approach to improve adaptation. Proposed architecture is independent of actual adaptive hypermedia system used.