Discovering data mining: from concept to implementation
Discovering data mining: from concept to implementation
Data mining: concepts and techniques
Data mining: concepts and techniques
Principles of data mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Graphical Models in Applied Multivariate Statistics
Graphical Models in Applied Multivariate Statistics
Data mining on multimedia data
Data mining on multimedia data
Evaluation of web robot discovery techniques: a benchmarking study
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Data preparation of web log files for marketing aspects analyses
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
UP-DRES: user profiling for a dynamic REcommendation system
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
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We present new methodologies for the search of sequence rules in the analysis of web clickstream data. We distinguish direct and indirect sequence rules, and show how to draw data mining conclusions on the basis of them. We then compare sequence rules, which are local models, with a global probabilistic expert system model. Our analysis have been conducted on a real e-commerce dataset.