Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
This paper describes the architecture of a data level comparative visualization system and experiences using it to study computational fluid dynamics data and experimental wind tu...
Abstract—In this paper we present a Multithreaded programming methodology for multi-core systems that utilizes DataFlow concurrency. The programmer augments the program with macr...