Abstract: ARES System is an application dedicated to data analysis, data exploration and knowledge discovery. This versatile tool offers rough set based methodology as well as emerging patterns and Support Vector Machine algorithms to be applied to input data presented as an information system. Many analytical capabilities provided with an user-friendly, intuitive graphical interface and XML based support for input/output operations make ARES System a challenging and promising software for application in scientific research and didactic work. An unique feature of ARES System is its ability of identifying improper objects within information system by employing credibility coefficients. The credibility coefficients attempt to assess a degree of typicality of each object in respect to the whole information system.

Keywords: information system, classification, rough sets, emerging patterns, SVM, credibility coefficients.

ACM Classification Keywords: H.1.1 Systems and Information Theory

Link:

ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES

Roman Podraza, Mariusz Kalinowski

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf