International Journal of Man-Machine Studies
Self-organizing maps
Unsupervised Rough Set Classification Using GAs
Journal of Intelligent Information Systems
Information Granules in Distributed Environment
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Artificial Intelligence Review
IEEE Transactions on Fuzzy Systems
Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Artificial Intelligence Review
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences—Informatics and Computer Science: An International Journal
A partitioning based algorithm to fuzzy co-cluster documents and words
Pattern Recognition Letters
MMR: An algorithm for clustering categorical data using Rough Set Theory
Data & Knowledge Engineering
Web Intelligence and Agent Systems
Exploring local community structures in large networks
Web Intelligence and Agent Systems
Precision of Rough Set Clustering
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
A Dynamic Approach to Rough Clustering
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Evolutionary Rough K-Means Clustering
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Interval Set Cluster Analysis: A Re-formulation
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Evolutionary and Iterative Crisp and Rough Clustering I: Theory
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences: an International Journal
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Fuzzy C-means clustering of web users for educational sites
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Applications of rough set based K-means, Kohonen SOM, GA clustering
Transactions on rough sets VII
Comparison of conventional and rough K-means clustering
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
The Knowledge Engineering Review
Expert Systems with Applications: An International Journal
Analysis of rough and fuzzy clustering
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Comparing clustering schemes at two levels of granularity for mobile call mining
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Ontology-based users and requests clustering in customer service management system
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Crisp and soft clustering of mobile calls
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Dynamic rough clustering and its applications
Applied Soft Computing
Correlating Fuzzy and Rough Clustering
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Fuzzy rough granular self-organizing map and fuzzy rough entropy
Theoretical Computer Science
International Journal of Approximate Reasoning
Iterative meta-clustering through granular hierarchy of supermarket customers and products
Information Sciences: an International Journal
RoClust: Role discovery for graph clustering
Web Intelligence and Agent Systems
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Web usage mining involves application of data mining techniques to discover usage patterns from the web data. Clustering is one of the important functions in web usage mining. The likelihood of bad or incomplete web usage data is higher than the conventional applications. The clusters and associations in web usage mining do not necessarily have crisp boundaries. Researchers have studied the possibility of using fuzzy sets in web mining clustering applications. Recent attempts have adapted the K-means clustering algorithm as well as genetic algorithms based on rough sets to find interval sets of clusters. The genetic algorithms based clustering may not be able to handle large amounts of data. The K-means algorithm does not lend itself well to adaptive clustering. This paper proposes an adaptation of Kohonen self-organizing maps based on the properties of rough sets, to find the interval sets of clusters. Experiments are used to create interval set representations of clusters of web visitors on three educational web sites. The proposed approach has wider applications in other areas of web mining as well as data mining.