Detecting Money Laundering Actions Using Data Mining and Expert Systems
Description
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.
| Slides | |
| 0:00 | Detecting Money Laundering Actions Using Data Mining and Expert Systems |
| 0:20 | Outline |
| 1:22 | Introduction (1) |
| 2:09 | Introduction (2) |
| 3:35 | Success Factors - Some technical factors that can affect the success of a project: |
| 4:34 | Success Factors - Everything is the same but two factors are handled differently; |
| 6:57 | Success Factors - Some technical factors that can affect the success of a project: |
| 7:08 | Success Factors - The adequacy of data |
| 8:15 | Success Factors - Selecting input variables |
| 10:06 | Success Factors - The way of using input variables |
| 11:41 | Success Factors - Forming the training set |
| 14:37 | Success Factors - Determining model application period |
| 17:04 | Success Factors - Algorithm selection |
| 18:28 | Success Factors - Determining model assessment criteria (1) |
| 21:30 | Success Factors - Determining model assessment criteria (2) |
| 23:55 | Success Factors - Feeding the campaign results back |
| 24:40 | Success Factors - After some improvement studies: |
| 25:57 | Some Campaigns We Made (1) |
| 26:02 | Some Campaigns We Made (2) |
| 26:07 | Outline |
| 26:41 | Motivation for AML (1) |
| 27:33 | Motivation for AML (2) |
| 29:05 | Motivation for AML - Basic deficiency of AML commercial packages: |
| 29:39 | Motivation for AML - Money laundering actions can be inspected at two levels: (1) |
| 30:55 | Motivation for AML - Money laundering actions can be inspected at two levels: (2) |
| 31:05 | Suggested Framework - A three phase AML solution framework: |
| 32:03 | Suggested Framework - I - Exploratory data analysis phase: (1) |
| 33:31 | Suggested Framework - I - Exploratory data analysis phase: (2) |
| 34:56 | Suggested Framework - I - Exploratory data analysis phase: (3) |
| 36:12 | Suggested Framework - I - Exploratory data analysis phase: (4) |
| 37:01 | Suggested Framework - I - Exploratory data analysis phase: (5) |
| 38:08 | Suggested Framework - I - Exploratory data analysis phase: (6) |
| 38:54 | Suggested Framework - I - Exploratory data analysis phase: (7) |
| 40:44 | Suggested Framework - II - Inferential data analysis phase: (1) |
| 42:00 | Suggested Framework - II - Inferential data analysis phase: (2) |
| 42:57 | Suggested Framework - III - Expert system phase: |
| 43:58 | Summary and Conclusions |
| 44:37 | Future Work |
| 45:04 | Any Questions? |
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