FICO, UCSD Announce Winners of International Predictive Analytics Competition

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					FICO, UCSD Announce Winners of International
Predictive Analytics Competition
Annual event attracts students from 18 countries; participants use analytics to predict consumers who are
most likely to make e-commerce purchases

November 24, 2010 10:03 AM Eastern Time  

SAN DIEGO--(EON: Enhanced Online News)--FICO (NYSE: FICO), the leading provider of analytics and
decision management technology, and the University of California, San Diego (UCSD) today announced the winners
of the seventh annual UCSD-FICO Data Mining Contest. Participants from six countries on four continents were
among the winners who developed predictive analytics to determine which consumers were most likely to shop
online.

This year, contestants were given anonymous data for more than 130,000 consumers. The data included no
personally identifiable information. Based on that data, competitors built models to predict which consumers were
most likely to buy products online. Participants were judged on how accurately they were able to predict future
purchases.

The competition was divided into two categories -- one category utilized raw data, and one category utilized
transformed data -- and each category had a Graduate and Undergraduate division. The top three finishers in each
category and each division shared $10,000 in cash prizes. The winners were:

Undergraduate Division – Raw Data Category
1s t place Shivam Juneja, Institute of Engineering and Technology, Bhaddal (India)
2nd
          Benjamin Hamner, Duke University (USA)
place
3rd place Rohan Anil, Birla Institute of Technology and Science, Pilani (India)
Undergraduate Division – Transformed Data Category
1s t place Benjamin Hamner, Duke University (USA)
2nd        Harsh Pareek, Chiraag Juvekar and Santosh Ananthakrishnan; Indian Institute of Technology, Bombay
place      (India)
 rd
3 place Rohan Anil, Birla Institute of Technology and Science, Pilani (India)
Graduate Division – Raw Data Category
1s t place Quan Sun, University of Waikato (New Zealand)
2nd        Alexey Gorodilov, Moscow Institute of Physics and Technology (Russia)
place
3rd place Jianfei Wu, North Dakota State University (USA)
Graduate Division – Transformed Data Category
1s t place Santi Villalba, University College Dublin (Ireland)
2nd       Jaeyong Lee, Pohang University of Science and Technology (Korea)
place
3rd place Ilhwan Ko, Pohang University of Science and Technology (Korea)
"Students around the world look forward to the UCSD-FICO Data Mining Contest each year as an opportunity to
put the skills they’ve learned in the classroom to use in a rigorous real-world competition," said professor Charles
Elkan of UCSD’s Department of Computer Science and Engineering. "It’s been exciting to see the growth of this
competition since its inception, with over 140 participants from six continents competing this year. We are proud of
all the students who participated, and we appreciate FICO’s ongoing commitment to developing and encouraging
the next generation of innovators in predictive analytics."

"We congratulate all the winners on a job well done," said Dr. Andrew Jennings, FICO’s chief research officer and
the head of FICO Labs. "Predictive analytics is a rapidly growing field that is changing the way businesses make
decisions and develop strategies. Once again, UCSD put on a great competition that encouraged students to utilize
their creativity as well as their training in predictive analytics to solve the same type of problems that the world’s
biggest companies face every day."

FICO has sponsored the contest since 2004, providing undergraduate and graduate students an opportunity to test
their analytic skills in real-world business challenges. Details about the 2010 UCSD-FICO Data Mining Contest are
available at: http://mill.ucsd.edu/index.php?page=Main.

About FICO

FICO (NYSE:FICO) transforms business by making every decision count. FICO’s Decision Management solutions
combine trusted advice, world-class analytics and innovative applications to give organizations the power to
automate, improve and connect decisions across their business. Clients in 80 countries work with FICO to increase
customer loyalty and profitability, cut fraud losses, manage credit risk, meet regulatory and competitive demands,
and rapidly build market share. FICO also helps millions of individuals manage their credit health through the
www.myFICO.com website.

FICO Statement Concerning Forward-Looking Information

Except for historical information contained herein, the statements contained in this news release that relate to FICO
or its business are forward-looking statements within the meaning of the “safe harbor” provisions of the Private
Securities Litigation Reform Act of 1995. These forward-looking statements are subject to risks and uncertainties
that may cause actual results to differ materially, including the success of the Company’s Decision Management
strategy and reengineering plan, the maintenance of its existing relationships and ability to create new relationships
with customers and key alliance partners, its ability to continue to develop new and enhanced products and services,
its ability to recruit and retain key technical and managerial personnel, competition, regulatory changes applicable to
the use of consumer credit and other data, the failure to realize the anticipated benefits of any acquisitions, continuing
material adverse developments in global economic conditions, and other risks described from time to time in FICO’s
SEC reports, including its Annual Report on Form 10-K for the year ended September 30, 2010. If any of these
risks or uncertainties materializes, FICO’s results could differ materially from its expectations. FICO disclaims any
intent or obligation to update these forward-looking statements.

FICO is a registered trademark of Fair Isaac Corporation.

Contacts
Investors/Analysts:
FICO
Mike Pung, 800-213-5542
investor@fico.com
OR
Media:
For FICO
Jeff Scott, 415-981-1963
jscott@iqprinc.com

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Description: SAN DIEGO--(EON: Enhanced Online News)--FICO (NYSE: FICO), the leading provider of analytics and decision management technology, and the University of California, San Diego (UCSD) today announced the winners of the seventh annual UCSD-FICO Data Mining Contest. Participants from six countries on four continents were among the winners who developed predictive analytics to determine which consumers were most likely to shop online. This year, contestants were given anonymous data for more than 130,0 a style='f
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