Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
The analysis of CMOS VLSI circuit switching current has become an increasingly important and difficult task from both a VLSI design and simulation software perspective. This paper...
This paper introduces a new compiler optimization called with-loop-folding. It is based on a special loop construct, the withloop, which in the functional language Sac (for Single ...
In this paper we describe the design, implementation and experimental evaluation of a technique for operating system schedulers called processor pool-based scheduling [51]. Our tec...