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AML Tools & Methodology

compliance, regulatory risk, sanctions, aml, financial crime

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AML Tools & Methodology | regulatoryrisk.blogspot.com Reviews
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compliance, regulatory risk, sanctions, aml, financial crime
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4 aml predictions
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7 dtlink inc
8 rapidminer
9 reactions
10 aml naive bayes
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main menu,posted by,dimitri tsiolis,aml predictions,business analysis,data analysis,dtlink inc,rapidminer,reactions,aml naive bayes,aml transaction monitoring,the essentials,precision,aml investigation tools,aml methodology,obvious false positive,data
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AML Tools & Methodology | regulatoryrisk.blogspot.com Reviews

https://regulatoryrisk.blogspot.com

compliance, regulatory risk, sanctions, aml, financial crime

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regulatoryrisk.blogspot.com regulatoryrisk.blogspot.com
1

AML Tools & Methodology: Jaro-Winkler Function. The Swiss Army Knife For Name Matching.

http://www.regulatoryrisk.blogspot.com/2014/04/jaro-winkler-function-swiss-knife-for.html

Your SEO optimized title. Tuesday, April 22, 2014. Jaro-Winkler Function. The Swiss Army Knife For Name Matching. Every day, thousands of AML/Sanctions investigators around the world, use name matching techniques for eliminating, essentially, Obvious False Positive (ofp) hits. The proof of such elimination, may vary from simple rationale description to a more scientific proof. Download the Jaro-Winkler Excel Spreadsheet. Check Your AML Knowledge. AML Data Mining. The Essentials (coursebook). Customer seg...

2

AML Tools & Methodology: July 2014

http://www.regulatoryrisk.blogspot.com/2014_07_01_archive.html

Your SEO optimized title. Thursday, July 31, 2014. AML Data Mining. The Bayes function simplified. Sometimes a good prediction tool is just. a few clicks away. Here is a simplified example of the Naive Bayes function that can help you in many AML predictions. Let's see first the basic Bayes formula (click to magnify). Let's see a small example (click to magnify):. Let's apply the formula (click to magnify):. And here is the same formula adapted to multiple customer attributes (click to magnify):. Before ...

3

AML Tools & Methodology: Name vs Identity Matching. The Chinese/South Korean/Japanese Naming System

http://www.regulatoryrisk.blogspot.com/2014/06/name-vs-identity-matching-chinesesouth.html

Your SEO optimized title. Tuesday, June 17, 2014. Name vs Identity Matching. The Chinese/South Korean/Japanese Naming System. The Chinese naming system is one of the oldest still active today, using the logograms, each one representing a syllable with a specific meaning rather than a letter. Even the term Chinese is very large when applied to a naming as the Mandarin being the most talked language along with the Cantonese and Min language. Family name or surname) and ming. It is very common for even adul...

4

AML Tools & Methodology: August 2014

http://www.regulatoryrisk.blogspot.com/2014_08_01_archive.html

Your SEO optimized title. Saturday, August 2, 2014. AML Data Mining. See Where The Puck Is Going To Be. Legendary hockey player Wayne Gretzky. Attributed his success to his ability to anticipate where the puck is going to be. And not where it had been. The great one was able to calculate the puck's eventual position. From his understanding of the game, his knowledge of his own team, the opposite players, puck speed, ice conditions and other factors. Predictive analytics tools like Rapidminer. AML Tools a...

5

AML Tools & Methodology: AML Data Mining. See Where The Puck Is Going To Be..

http://www.regulatoryrisk.blogspot.com/2014/08/aml-data-mining-see-where-puck-is-going.html

Your SEO optimized title. Saturday, August 2, 2014. AML Data Mining. See Where The Puck Is Going To Be. Legendary hockey player Wayne Gretzky. Attributed his success to his ability to anticipate where the puck is going to be. And not where it had been. The great one was able to calculate the puck's eventual position. From his understanding of the game, his knowledge of his own team, the opposite players, puck speed, ice conditions and other factors. Predictive analytics tools like Rapidminer. Decision tr...

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AML Tools & Methodology

Your SEO optimized title. Saturday, August 2, 2014. AML Data Mining. See Where The Puck Is Going To Be. Legendary hockey player Wayne Gretzky. Attributed his success to his ability to anticipate where the puck is going to be. And not where it had been. The great one was able to calculate the puck's eventual position. From his understanding of the game, his knowledge of his own team, the opposite players, puck speed, ice conditions and other factors. Predictive analytics tools like Rapidminer. And here is...

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