Credibility Coefficients Based on SVM

摘要

ARES System was a data analysis tool supporting Rough Set theory. It has been expanded to cover other approaches like Emerging Patterns and Support Vector Machine. A special feature of ARES System is ability to identify exceptional objects within information systems by using credibility coefficients. The credibility coefficient is a measure, which attempts to weigh up a degree of typicality of each object in respect to the rest of information system. The paper presents an idea of credibility coefficients based on SVM approach. The new coefficients are compared with the others ones available in the ARES System.