The production of mass of heterogeneous data has created multiple issues and challenges. Researchers based on intuition as well as empirical evidence are distilling an alarming array of information into a corpus of manageable core concepts.
The requirement is to use the theoretical and practical approaches as vehicles to introduce a broad variety of solutions and applications with a high precision. The Journal of Data Processing is planned to publish systems for data processing that are scalable to support a variety of algorithms and to function so that additional incorporation of informatics modules does not interrupt production systems.
This journal aims to inspire a change in the way researchers might think about different data processing problems in general, by looking for patterns, symmetries, and equivalences, and exploiting these so that answers to the questions raised.
All papers are peer reviewed.