Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting software fault-prone modules, one of the contributing features is software metric by which one ...

this paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in credit scoring. yet there isn’t any literature in the field of data mining applications in credit scoring. using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the science direct onli...

Experts in finance and accounting select feature subset for corporate financial distress prediction according to their professional understanding of the characteristics of the features, while researchers in data mining often believe that data alone can tell everything and they use various mining techniques to search the feature subset without considering the financial and accounting meanings of...

This paper proposed a feature selection with privacy preservation in centralized network. Data can be preserved for privacy by perturbation technique as alias name. In centralized data evaluation, it makes data classification and feature selection for data mining decision model which make the structural information of model in this paper. The application of gain ratio technique for better perfo...

health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. data mining is among the technological advances toward data management whose integration with traditional methods...