Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
levels of abstraction. Lacking well-established technologies and models for representing and accessing program dynamics, tools must use ad-hoc mechanisms. This limits reuse and int...
With the increasing popularity of small to large-scale symmetric multiprocessor (SMP) systems, there has been a dire need to have sophisticated, and flexible development and runt...
We propose a method to construct computer vision systems using a workbench composed of a multi-faceted toolbox and a general purpose kernel. The toolbox is composed of an open set ...
A project to enable health care professionals (GPs, practice nurses and diabetes nurse specialists) to access, via the Internet, confidential patient data held on a secondary care...
David W. Chadwick, Carmen Carroll, S. Harvey, John...