منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
  • سبد خرید

دانلود رایگان مقاله انگلیسی داده کاوی در زمینه ی پولشویی ضد پولی - امرالد 2017

عنوان فارسی
داده کاوی در زمینه ی پولشویی ضد پولی
عنوان انگلیسی
Data mining in anti-money laundering field
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
14
سال انتشار
2017
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
کد محصول
E7081
رشته های مرتبط با این مقاله
مهندسی صنایع، حسابداری
گرایش های مرتبط با این مقاله
داده کاوی، حسابرسی
مجله
مجله کنترل پولشویی - Journal of Money Laundering Control
دانشگاه
School of Knowledge Science - Japan Advanced Institute of Science and Technology - Ishikawa - Japan
۰.۰ (بدون امتیاز)
امتیاز دهید
بخشی از متن مقاله

2. Definition


(1) Definition of money laundering and three stages of laundering cycles Money laundering is the conversion of criminal income into assets that cannot be traced back to the underlying crime2 . Most countries subscribe to the definition adopted by the United Nations Convention Against Illicit Traffic in Narcotic Drugs and Psychotropic Substances (1988)(Vienna Convention) and the United Nations Convention Against Transnational Organized Crime (2000)(Palermo Convention) 3 Even though money laundering often involves a complex series of transactions that are usually difficult to separate, the following three stages are commonly used to distinguish: Placement: The initial stage of the process involves placement of illegally derived funds into the financial system, usually through a financial institutions. This can be accomplished by depositing cash into a bank account. Large amounts of cash are broken into smaller, less conspicuous amounts and deposited over time in different offices of a single financial institution or in multiple financial institutions. The exchange of one currency into another, as well as the conversion of smaller notes into large denominations, may occur at this stage.

نتیجه گیری

6. Conclusion


In the AML field, especially detection system of suspicious transaction report (STR), we recognized that the data-mining theory such as multivariate date analysis (liner regression, logistic regression, luster analysis) and artificial intelligence technique (inductive algorithms, neural networks, fuzzy logic and Generic algorithms) is in practice and well developed. However, the information and knowledge gained are not necessarily used for or shared with the related shareholders, because data mining is considered one of the most important frontiers in database systems and one of the most promising interdisciplinary developments in the information industry26, we cannot help taking advantage of this concept. A lot of AML professionals realize the importance of cooperation at the national / international and private /public sector levels. Peter Reuter (2004) insists that the global AML regime clearly needs further development and promulgation of anti-money laundering strategies at the international as well as national levels. Cooperation with the private sector also should be enhanced, more technical and financial assistance should be provided, and more technical and financial assistance should be made available to poor jurisdictions.


But, is it sufficient to take preventive measures against money laundering? My answer is no. In addition to establishing such a regime, creating and co-evolving the network of ‘knowledge professionals’ is the impending assignment in this industry. The first and most important task is knowledge management in the global Anti-Money Laundering Field.


بدون دیدگاه