Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
—Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimen...
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Extending relational database functionality to include data mining primitives is one step towards the greater goal of more closely integrated database and mining systems. This pape...