Ordinal Credibility Coefficient - A New Approach in the Data Credibility Analysis

摘要

The Data Credibility Analysis is a computer science domain aimed at discovering universal algorithms for identifying improper or unusual data. It is done by calculating credibility coefficients for individual records. In recent years many different methods of computing these coefficients were presented. In the paper we propose a transformation of credibility coefficients to ordinal credibility coefficients. By developing this idea we propose another credibility coefficient computing algorithm, which benefits from incorporating arbitrary many other credibility coefficient computing methods. The preliminary tests showed that this approach leads to better results.