نتایج جستجو برای: fraud
تعداد نتایج: 8526 فیلتر نتایج به سال:
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
The purpose of this study is exploring expectation gap among university students and auditors points of view about importance of fraud risk components. To get this purpose, university students' ideas and auditors about importance of each mentioned fraud risk components in Iranian auditing standard No. 24 under the title of "the auditor’s responsibilities relating to fraud in an audit of financi...
Trust among traders is one of the bases of markets mechanism and fraud damages existing trust. Therefore, the deleterious impact of fraud on societies and companies is obvious. When fraud occurs, the society expects auditors to detect and report fraud. Therefore, the role of auditors in countering fraud has become increasingly significant. To detect fraud, auditors need to perform a high-qualit...
both academic and auditing firms have been searching for ways to detect corporate fraud. The main objective of this study was to present a model to detect financial reporting fraud by companies listed on Tehran Stock Exchange (TSE) using genetic algorithm. For this purpose, consistent with theoretical foundations, 21 variables were selected to predict fraud in financial reporting that finally, ...
Every year, e-service providers report losses of billions of dollars due to fraud. Despite their huge efforts in implementing sophisticated fraud detection systems on top of their e-services, fraud effects seem to be rather increasing than decreasing. As a result, fraud risk assessment has been introduced as a fundamental part of e-service providers’ prevention strategies. In particular, identi...
Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time. The neural network was trained on examples of fraud due to lost cards, stolen cards, application fraud, counterfeit fraud,...
Telecom providers are losing tremendous amounts of money due to fraud risks posed to Telecom services and products. Currently, they are mainly focusing on fraud detection approaches to reduce the impact of fraud risks against their services. However, fraud prevention approaches should also be investigated in order to further reduce fraud risks and improve the revenue of Telecom providers. Fraud...
Previous studies on mobile ad fraud detection are limited to detecting certain types of ad fraud (e.g., placement fraud and click fraud). Dynamic interactive ad fraud has never been explored by previous work. In this paper, we propose an explorative study of ad fraud in Android apps. We first created a taxonomy of existing mobile ad fraud. Besides static placement fraud, we also created a new c...
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