نتایج جستجو برای: detecting fraud
تعداد نتایج: 110013 فیلتر نتایج به سال:
Fraud exposes a business to variety of significant financial risks that can threaten both its profitability and public image. All firms are almost certain be victimized by some form economic crime or fraud. As result, the world’s revolution in big data analytics plays critical role establishment competitive companies, as is already being used wide industries (Rezaee & Wang, 2019) referred n...
The purpose of this study is to determine the influence diamond fraud elements consisting pressure (which are proxied with financial stability, external pressure, and targets), oppoturnity by nature industry ineffective monitoring), rationalization audit opinions, capability changing directors statements. This research uses a qualitative descriptive method secondary data sources collected throu...
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 ...
<p align="justify">This study aims to examine the influence of pressure, opportunity, rationalization, ability, arrogance, and collusion in detecting village fund management fraud with materialism as moderator. The population this are all village/traditional state apparatus Ambon City, totaling 15 states, namely: 3 customary lands each sub-district. sample consisted 66 respondents consist...
researchers and practitioners doing work in these three related areas. Risk management, fraud detection, and intrusion detection all involve monitoring the behavior of populations of users (or their accounts) to estimate, plan for, avoid, or detect risk. In his paper, Til Schuermann (Oliver, Wyman, and Company) categorizes risk into market risk, credit risk, and operating risk (or fraud). Simil...
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