I n t r o d u c t i o n The word "clustering" (unsupervised classification) refers to methods of grouping objects based on some similarity measure between them. Clustering algorithms can be classified into four classes, namely Partitional, Hierarchical, Density-based and Grid-based [8]. Each of these classes has subclasses and different corresponding approaches, e.g., conceptual, fuzzy, selforg...

This paper describes an approach to detect risks of procurement fraud. It was developed within the context of a European Union project on fraud prevention. Procurement fraud is a special kind of fraud that occurs when employees cheat on their own employers by executing or triggering bogus payments. The approach presented here is based on the idea to learn a similarity measure that compares an e...

INTRODUCTION The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) is a widely used screening instrument in neuropsychological assessment and is a brief, individually administered measure. The present study aims to assess the reliability and validity of the Chinese version of the RBANS in community-dwelling elderly. MATERIAL AND METHODS All subjects come from the comm...

Decision tree modelling, as one of data mining techniques, is used for credit scoring of bank customers. The main problem is the construction of decision trees that could classify customers optimally. This study presents a new hybrid mining approach in the design of an effective and appropriate credit scoring model. It is based on genetic algorithm for credit scoring of bank customers in order ...

OBJECTIVE To examine the reliability and validity of the physical activity decline (PAD) score: a measure for assessing a decline in the level of physical activity in patients with chronic pain. DESIGN This study was embedded in a prognostic cohort study based on an inception cohort of patients with sub-acute low back pain. PATIENTS Sixty-two patients who developed chronic pain participated...

Objective measures of environmental attributes have been used to understand how neighborhood environments relate to physical activity. However, this method relies on detailed spatial data, which are often not easily available. Walk Score® is a free, publicly available web-based tool that shows how walkable a given location is based on objectively-derived proximity to several types of local dest...

The paper presents a cursory examination of clustering, fo-cusing on a rarely explored field of hierarchy of clusters. Based on this, a short discussion of clustering quality measures is presented and the F-score measure is examined more deeply. As there are no attempts to assess the quality for hierarchies of clusters, three variants of the F-Score based index are presented: classic, hierarchi...

BACKGROUND Perception-based Likert scale are commonly used to assess household food insecurity. The aim of this study was to evaluate the psychometric properties and external construct validity of the 9-item Food Access Survey Tool (FAST) in a population-based randomized controlled trial. METHODS Participating women (n = 11,992) were asked to recall the frequencies of nine food insecurity exp...

This paper addresses the problem of managing significant rise in requests for credit products that banking and financial institutions face. The aim is to propose an adaptive, dynamic heterogeneous ensemble model integrates XGBoost Support Vector Machine models improve accuracy reliability risk assessment scoring models. method employs machine learning techniques recognise patterns trends from p...