Incremental maintenance of views with duplicates
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Data mining
Data Mining Your Website
Information Systems Reengineering
Information Systems Reengineering
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
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In this paper, we introduce a frame metadata model to facilitate the continuous association rules of web transactions. A new set of association rules can be derived with the update of the web log file by the web transactions in the frame metadata model. The frame metadata model consists of two types of classes: static classes and active classes. The static classes describe the web transactions of the association rule table. The active classes are event driven, obtaining web transactions when invoked by a certain event. Whenever an update occurs in the existing web transactions in the web log file, a corresponding update will be invoked by an event attribute in the method class, which will compute the association rules continuously. The result is active web mining capable of deriving association rules of web transactions continuously or incrementally using frame metadata model.