使用数据挖掘和专家系统检测洗钱行为Detecting Money Laundering Actions Using Data Mining and Expert Systems |
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课程网址: | http://videolectures.net/mmdss07_duman_dml/ |
主讲教师: | Ekrem Duman |
开课单位: | 多格斯大学 |
开课时间: | 2007-12-03 |
课程语种: | 英语 |
中文简介: | 如今,恐怖主义是几乎每个国家都面临的最大麻烦之一。它主要影响公民的经济和福祉,这种影响在发达国家相对较大。由于恐怖主义集团的资金来源可被视为黑钱,因此可以预期针对洗钱行动的解决方案将确定恐怖分子的交易。然后,阻止他们的帐户可能会减慢他们的行动,如果不能停止。在许多国家,金融机构应向合规监管机构通报他们认为可疑的任何人或交易。为了应对这种必要性,已经开发了各种用于反洗钱(AML)的软件包并且可以从商业上获得。 |
课程简介: | Nowadays terrorism is one of the biggest troubles that almost every country faces. It mainly influences the economy and the well being of the citizens and this effect is relatively larger in the developed countries. Since the financial sources of terrorist groups can be regarded as black money, the solutions against the money laundering actions can be expected to identify the transactions of the terrorists. Then, blocking their accounts could slow down their actions if cannot stop. In many countries, the financial institutions are expected to inform compliance regulation bodies about any persons or transactions that they think suspicious. To cope with this necessity, various software packages for anti money laundering (AML) have been developed and are commercially available. |
关 键 词: | 恐怖主义; 洗钱行动; 金融机构 |
课程来源: | 视频讲座网 |
最后编审: | 2019-07-24:cwx |
阅读次数: | 66 |