Using SOM to clustering of web sessions extracted by techniques of web usage mining
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
A service oriented architecture to provide data mining services for non-expert data miners
Decision Support Systems
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This paper use the source of web log data and through AprioriAll algorithm among sequential pattern mining to identify the user pattern in the data pre-processing stage and based on pattern to clusterusers’ path pattern and make the similarity users cluster one group in order to reduce pattern. Through testing, the method has been proven to be effective for users in personalized service.