Counting your customers: who are they and what will they do next?
Management Science
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Implementing fuzzy logic controllers using a neural network
Fuzzy Sets and Systems
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning - Special issue on learning with probabilistic representations
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Enabling scalable online personalization on the Web
Proceedings of the 2nd ACM conference on Electronic commerce
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Personalization from incomplete data: what you don't know can hurt
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining: Technologies, Techniques, Tools, and Trends
Data Mining: Technologies, Techniques, Tools, and Trends
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining
INFORMS Journal on Computing
The BankSearch web document dataset: investigating unsupervised clustering and category similarity
Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Using web structure and summarisation techniques for web content mining
Information Processing and Management: an International Journal
A Hierarchical Neural Network Document Classifier with Linguistic Feature Selection
Applied Intelligence
A flocking based algorithm for document clustering analysis
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
A new algorithm for clustering search results
Data & Knowledge Engineering
Privacy preserving clustering on horizontally partitioned data
Data & Knowledge Engineering
Eliciting transparent fuzzy model using differential evolution
Applied Soft Computing
Personalised online sales using web usage data mining
Computers in Industry
Electronic Commerce Research and Applications
Context-similarity based hotlinks assignment: Model, metrics and algorithm
Data & Knowledge Engineering
Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Mining the change of customer behavior in fuzzy time-interval sequential patterns
Applied Soft Computing
Dynamic clustering with soft computing
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Conceptual modeling of cardinality constraints in social publishing
International Journal of Intelligent Systems
IT-Supported Business Performance and E-Commerce Application in SMEs
Journal of Electronic Commerce in Organizations
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Internet technology enables companies to capture new customers, track their performances and online behavior, and customize communications, products, services, and prices. Analyses of customers and customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, or combined approaches. One key issue in the analysis of access patterns on the Web is the clustering and classification of Web documents. Generally, the classification has its base on analytical models which assume a pre-fixed set of keywords (attributes) with predefined list of categories. This assumption is not realistic for large and evolving collections of documents such as World Wide Web. We propose a new approach to solve the problem of unknown number of evolving categories. The approach begins with the classification of test documents into a set of initial categories. A working prototype system which is based on Fuzzy Clustering CRM (FC-CRM) has been developed and presented to validate the proposed approach and illustrate how it handles the dynamic inflow of new documents.