C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
SiteHelper: a localized agent that helps incremental exploration of the World Wide Web
Selected papers from the sixth international conference on World Wide Web
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
Clustering Algorithms
Research Issues in Web Data Mining
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Analysis of web-usage behavior for focused web sites: a case study
Journal of Software Maintenance and Evolution: Research and Practice - Special issue: Web site evolution
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
Preference-Function Algorithm: a novel approach for selection of the users' preferred websites
International Journal of Business Intelligence and Data Mining
Using Data Mining Algorithms for Statistical Learning of a Software Agent
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
ROSA: multi-agent system for web services personalization
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Design and implementation of web mining system based on multi-agent
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
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Some challenges for Website designers are to provide correct and useful information to individual users with different backgrounds and interests, as well as to increase user satisfaction. Intelligent Web agents offer a potential solution to meet such challenges. A Web agent collects information, discovers knowledge through Web mining and users' behavior analysis, and applies the discovered knowledge to give dynamically recommendations to Website users, to update Web pages, and to provide suggestions to Website designers. The basic functionalities and components of an intelligent Web agent are discussed. A prototype system, called PagePrompter, is described. The knowledge of the system is extracted based on a combination of Web usage mining and machine learning.