DM: Re: Classification problem

Hello,

I had some experience in this kind of problems.
It is common especially in medicine, when you often have a few "positive"
examples of some disorder.
One approach to cope with it is to apply local methods.
One good in my opinion example was considered in:

Cardie, C., & Howe, N. Improving minority class prediction using
case-specific feature weights. Proc. 14th Int. Conf. on Machine Learning,
Morgan Kaufmann, pp. 57-65, 1997.

Sincerely,
Alexey.

___________________________________________________________________
Alexey Tsymbal, Researcher                 Department of CS & IS
E-mail: alexey@cs.jyu.fi                  University of Jyvaskyla
Phone:  +358 14 260 2547                     P.O.Box 35
Fax:    +358 14 260 3011                   SF-40351, Jyvaskyla
Office: Mattilanniemi D236                      FINLAND
WWW: cs.jyu.fi\~alexey
___________________________________________________________________


----- Original Message -----
From: "Yannis Kopanas" <ikopanas@ee.upatras.gr>
To: <datamine-l@nautilus-sys.com>
Sent: Thursday, May 25, 2000 7:17 AM
Subject: DM: Classification problem


 >
 > My problem has to do with the data set. I have two classes (the good guys
 > and the bad guys) unfortunatelly the bad guys are only 20 when the good
guys
 > are 99980. Anybody who knows how to deal with it?
 > Thanks in advance.
 >      Yannis

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