An important issue in data mining is the recognition of complex dependencies between attributes. Past techniques for identifying attribute dependence include correlation coefficie...
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Although SIMD (Single Instruction stream Multiple Data stream) parallel computers have existed for decades, it is only in the past few years that a new version of SIMD has evolved...
Abstract. In this paper we investigate the usefulness of a new operator, inver-over, for an evolutionary algorithm for the TSP. Inver-over is based on simple inversion, however, kn...
Abstract. In the past, some information technologies (IT) have quickly been adopted by the engineering practice while the implementation of others has been slower. In the paper, th...