See what's happening in the fields of data
mining, and its inevitable friends like business intelligence,
predicative analytics, computaional intelligence..... the list could go
as long as you might expect
FDA
Post-Marketing Drug Safety analytics project went to production
September 8,2005
FDA is implementing Lincoln Technologies's WebVDME system for
production and use by safety evaluators and epidemiologists in CDER's
Division of Drug Risk Evaluation (DDRE) and CBER's Division of
Epidemiology. Lincoln
Technologies was acquired by Phase Forward
(NASDAQ: PFWD), a leading provider of data management solutions for
clinical trials and drug safety. Refer to this KDD 03 paper
for technical details of this system.
SAS
raises bar on data mining and text mining, improves predictive analytics
August 23,2005
SAS announced that enhancements to its award-winning data mining and
text mining software will ship this fall. SAS' integrated data mining
and text mining capabilities uncover insights quickly from information
contained in structured data as well as unstructured data in large
document collections
EXPERTS
who mine nuggets of data
August 28,2005
Financial Times - London,England,UK ... It is known as "data mining"
and is one of the specialist activities of a company that he formed
with four statistician friends after a chance encounter ...
FBI
awards data-mining contract to MicroStrategy
August 11,2005
MicroStrategy won a $1.6 million contract with the FBI, company
officials said Thursday.The contract is in addition to a $750,000 award
made in October to help the FBI consolidate its stockpile of
information - the Investigative Data Warehouse.
Anticipation
Games
June 13,2005
Successful models can pay off big. At LoanPerformance, a model that
predicts which accounts that are 90 days in arrears will default saved
one client $2 million in six months. The total cost of deployment was
$400,000. Those types of returns are one reason why IDC research shows
the sale of predictive analytics tools growing to $3 billion by 2008,
which would be a nearly 40% increase from 2004. Such tools make up 25%
of the business intelligence market. As the volumes of business data
have increased, the desire to extract value from that information has
intensified. Fortunately, predictive analytics tools have become easier
to use, says Harmon, allowing more streamlined model-building workflows
and enabling analysts steeped in business issues to do more without the
involvement of statisticians. "This is where the future lies," he says.
"The tools are being automated."
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