ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Web Behaviormetric User Profiling Concept
EC-Web '08 Proceedings of the 9th international conference on E-Commerce and Web Technologies
An in-network reduction algorithm for real-time wireless sensor network applications
Proceedings of the 4th ACM workshop on Wireless multimedia networking and performance modeling
Smart Miner: a new framework for mining large scale web usage data
Proceedings of the 18th international conference on World wide web
Metric-based stochastic conceptual clustering for ontologies
Information Systems
Metric-based stochastic conceptual clustering for ontologies
Information Systems
Multi-model Ontology-Based Hybrid Recommender System in E-learning Domain
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
An efficient approach for building customer profiles from business data
Expert Systems with Applications: An International Journal
Proceedings of the VLDB Endowment
A global profile-based algorithm for energy minimization in object tracking sensor networks
Computer Communications
A fuzzy bi-clustering approach to correlate web users and pages
International Journal of Knowledge and Web Intelligence
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A framework for clustering categorical time-evolving data
IEEE Transactions on Fuzzy Systems
Analyzing the behavioral structure characteristics from web traffic
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Semantically enriched event based model for web usage mining
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
STS: complex spatio-temporal sequence mining in flickr
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Applying web usage mining for adaptive intranet navigation
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Discovering better navigation sequences for the session construction problem
Data & Knowledge Engineering
Customer relationship management and Web mining: the next frontier
Data Mining and Knowledge Discovery
Web personalization based on usage mining
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
A novel model for user clicks identification based on hidden semi-Markov
Journal of Network and Computer Applications
Towards recognizing and rewarding efficient developer work patterns
Proceedings of the 2013 International Conference on Software Engineering
A framework of hybrid recommender system for web personalisation
International Journal of Business Information Systems
Journal of Systems and Software
Identifying web sessions with simulated annealing
Expert Systems with Applications: An International Journal
A neurology-inspired model of web usage
Neurocomputing
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In this paper, we present a complete framework and findings in mining web usage patterns from Web log files of a real website that has all the challenging aspects of real life web usage mining, including evolving user profiles and external data describing an ontology of the web content. Even though the website under study is part of a non-profit organization that does not "sell" any products, it was crucial to understand "who" the users were, "what" they looked at, and "how their interests changed with time", all of which are important questions in Customer Relationship Management (CRM). Hence, we present an approach to discover and track evolving user profiles. We also describe how to enrich the discovered user profiles with explicit information need that is inferred from search queries extracted from Web log data. Profiles are also enriched with other domain specific information facets that give a panoramic view of the discovered mass usage modes. An objective validation strategy is also used to assess the quality of the mined profiles, and in particular, their adaptability in the face of evolving user behavior.