Abstract. Kinetic data structures provide a framework for computing combinatorial properties of continuously moving objects. Although kinetic data structures for many problems have...
Umut A. Acar, Guy E. Blelloch, Kanat Tangwongsan, ...
Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatica...
— We consider whether the off-line compilation of a set of Service Level Agreements (SLAs) into low-level management policies can lead to the runtime maximization of the overall ...
er reports on a pragmatic query language for Racer. The abstract syntax and semantics of this query language is defined. Next, the practical relevance of this query language is sh...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...