Classification is a classical problem in machine learning and data mining. In traditional decision tree classification, a feature of a tuple is either categorical or numerical. The decision tree algorithms are used for classify the certain and numerical data for many applications. In existing system they implement the extended the model of decision tree classification to accommodate data tuple ...

Online auction sites are a target for fraud due to their anonymity, number of potential targets and low likelihood of identification. Researchers have developed methods for identifying fraud. However, these methods must be individually tailored for each type of fraud, since each differs in the characteristics important for their identification. Using supervised learning methods, it is possible ...

Distance-bounding is a practical solution to be used in security-sensitive contexts, to prevent relay attacks. Its applied cryptographic role is definitely spreading fast and it is clearly far reaching, extending from contactless payments to remote car unlocking. However, security models for distance-bounding are not well-established and, as far as we know, no existing protocol is proven to res...

Purpose This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by increase detection rates frauds corruption within public sector in Africa. It also examines respondents’ perceived values regarding reasons for committing frauds, types fraud corruption, well aspects tackle frauds. D...