This paper describes an approach to fraud detection targeted at applications where this task is followed by a posterior human analysis of the signaled frauds. This is a frequent setup on fraud detection applications (e.g. credit card misuse, telecom fraud, etc.). In real world applications this human inspection is usually constrained by limited resources. In this context, standard fraud detecti...

Using a regime switching framework we investigate the determinants of default clustering. We find that a common credit cycle, modeled as a two-state Markov chain, can account for a large portion of default correlations, with the residual clustering being captured by a factor structure. During credit crunches default rates increase, and so does the conditional residual correlation. Using data fo...

conclusions the analysis of the reliability and validity of the persian version of the hse questionnaire showed that it is a useful and reliable measure to analyze work-related stress. background job stress has recently been regarded as a risk factor for some diseases. objectives in this study, we standardized the persian version of the hse management standards indicator tool and studied the ps...

introduction: objective structured clinical examination (osce) is one of the most appropriate methods for assessment of clinical skills.validity and reliability assurance is a mandatory factor for any assessment tool. in shiraz university of medical sciences, medical students’ clinical competences are evaluated by a pre-internship osce. this study is designed to examine the validity and reliabi...

BACKGROUND Empathic patient-centred care is central to high quality health encounters. The Consultation and Relational Empathy (CARE) Measure is a patient-rated experience measure of the interpersonal quality of healthcare encounters. The measure has been extensively validated and is widely used by doctors in primary care but has not been validated in nursing. This study assessed the validity a...

Silhouette is one of the most popular and effective internal measures for the evaluation of clustering validity. Simplified Silhouette is a computationally simplified version of Silhouette. However, to date Simplified Silhouette has not been systematically analysed in a specific clustering algorithm. This paper analyses the application of Simplified Silhouette to the evaluation of k-means clust...

This study examines credit score migration rates of farm businesses. We test whether migration probabilities differ across business cycles. Our results suggest that agricultural credit ratings are more likely to improve during expansions and deteriorate during recessions. We also test whether agricultural credit ratings depend on the previous period migration trends. Our results show that credi...

basic requirement of many studies is the necessity of classifying data. Clustering is a proposed method for summarizing networks. Clustering methods can be divided into two categories named model-based approaches and algorithmic approaches. Since the most of clustering methods depend on their input parameters, it is important to evaluate the result of a clustering algorithm with its' different ...

Hierarchical clustering represents a family of widely used clustering approaches that can organize objects into a hierarchy based on the similarity in objects’ feature values. One significant obstacle facing hierarchical clustering research today is the lack of general and robust evaluation methods. Existing works rely on a range of evaluation techniques including both internal (no ground-truth...