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Jiang (Jay) Zhou's Page
Profile Information
- Company:
- Business Data Miners, LLC
- Seniority:
- Director, Consultant
- Job Function:
- Data Mining, Finance, SAS, Industrial Statistics, Statistical Consulting, Artificial Intelligence, Other
- Industry:
- Fraud prevention, data mining, credit risk
- Short Bio:
- Dr. Jiang (Jay) Zhou is Chief Scientist and President of Business Data Miners, LLC. He has over a decade of experience using predictive analytics and data mining to manage risk and detect fraud in financial and telecommunication industries. His solutions have saved clients more than $100 million.
Dr. Zhou has made presentations on using data analytics to manage risk and prevent fraud at American Bankers Association(ABA) conferences, Predictive Analytics World, Babson College and other events. Dr. Zhou has many innovations in data mining technologies. Dr. Zhou has co-authored an award-winning paper, "Using genetic learning artificial neural networks for spatial decision making in GIS" (Nov., 1996, PE & RS). He has an MS from Peking University, and a PhD in plant science from University of Connecticut. Dr. Zhou can be reached at [email protected]
- LinkedIn Profile:
- http://www.businessdataminers.com
- Interests:
- Networking, New Venture
Jiang (Jay) Zhou's Blog
Will make two presentations at COLLABORATE 10 – IOUG (Independent Oracle User Group) Forum
Posted on December 11, 2009 at 9:44pm 0 Comments 0 Likes
COLLABORATE 10 – IOUG (Independent Oracle User Group) Forum April 18-22,2010, Las Vegas, Nevada
1. Building a Check Fraud Detection System Using Oracle 11g and Oracle Data Mining, April 20, 2010
2. Building a Card Fraud Reporting Portal, April 22, 2010
1. Building a Check Fraud Detection System Using Oracle 11g and Oracle Data Mining, April 20, 2010
2. Building a Card Fraud Reporting Portal, April 22, 2010
in-database data mining
Posted on August 23, 2009 at 10:49am 3 Comments 0 Likes
I have been building data mining solutions within relational databases. Almost every process is done within the database environment. We enjoy the functions provided by databases: security, scalability, analytic functions, manageability, easy model deployment, SQL, etc. Since data mining is done on the server side, the crash of my laptop hard drive has minimum impact on my work (it happened twice in the last two years).
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I'm not looking for a job now,as I am happy with my work and my company.