High performance computing techniques in "information to knowledge" process

Abstract

Variety of Data Mining (DM) and Artificial Intelligence (AI) algorithms and software techniques are considered to be advanced, progressive and sophisticated toolkits. These packages support industries and R&D institutes with solutions of „how to transform information to knowledge” in efficient ways. A lot of these algorithms are developed in high programming languages, such as: C++, C#, ADA and JAVA. The usage of JAVA becomes more and more popular as the „ultimate” programming language in the last years. Is JAVA the ultimate software language to implement DM and Information to Knowledge (I2K) processes? The article examines reasons for using JAVA for DM developments and algorithms implementations for I2K process. The article mainly concentrates on „time-consuming” JAVA-based applications. Some of the popular paradigms and concepts are broken-down in this scientific research. The article plots perceptual reasonable conclusions, which destabilize the „High-Performance-Computing” (HPC) understanding on one hand, and gives better understanding on JAVA's attributes and characteristics as progressive software tool. Therefore this article is significant breakthrough in the merged and unified area of JAVA-based I2K solutions by DM implementations. The article is based on continuous and deep scientific research of DM algorithms. The article considers the parameters' set for efficient and inefficient application. Afterwards the article deploys possible reasons for the described phenomenon and finally supports the readers with some reasonable answers and conclusions.