http://reality.sgi.com/ronnyk/mljapps/
*** Submission deadline: 4 Mar 1997
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Machine Learning
Special Issue on
Applications of Machine Learning
and the Knowledge Discovery Process
Guest editors: Ronny Kohavi and Foster Provost
With the explosion in size of business and scientific databases
(VLDBs), the opportunities and pressure to mine the data and make
novel discoveries have increased dramatically. For many problems,
basic statistical summaries are not sufficient and there is a clear
and recognized need for solutions involving a machine learning
component. For example, modern businesses constantly seek to gain
competitive advantage by tailoring actions to different customer
segments and avoiding the trap of targeting the "average customer."
This special issue of the journal Machine Learning will be dedicated
to papers describing work in which machine learning technologies have
been applied to solve significant real-world problems. In particular,
it will focus on the application of Machine Learning technology, the
simplifying assumptions that *cannot* be made in a real-world
application, and the processes that are involved in going from the raw
data to the final knowledge that decision makers seek.
_____________________________________________________________________________
Ronny Kohavi and Foster Provost
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