The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
The aim of this work is to introduce a computational costs system associated to a semantic framework for orthogonal data and control parallelism handling. In such a framework a pa...
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...