Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this directi...
Badrish Chandramouli, Jonathan Goldstein, David Ma...
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Our research investigates howdomainsemantics are discovered froma relational database at a high level of automation. Thediscoveries are then represented as the extendedEntityRelat...
Roger H. L. Chiang, Terence M. Barron, Veda C. Sto...
We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for ana...
Vassilios S. Verykios, Elisa Bertino, Igor Nai Fov...