Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
We present the application of customized code generation to database query evaluation. The idea is to use a collection of highly efficient code templates and dynamically instantiat...
—We address the recently recognized privatization problem in software transactional memory (STM) runtimes, and introduce the notion of partially visible reads (PVRs) to heuristic...
Virendra J. Marathe, Michael F. Spear, Michael L. ...
Systems connected to the Internet are highly susceptible to denial-of-service attacks that can compromise service availability, causing damage to customers and providers. Due to e...