Submission Instructions
			      for
		Data Mining and Knowledge Discovery 
 	   Special Issue on E-Commerce and Data Mining
        http://robotics.stanford.edu/~ronnyk/ecommerce-dm/

Authors are encouraged to submit high quality, original work that
neither has appeared in, nor is under consideration by, other
journals. Submissions should be in 12pt font, 1.5 line-spacing, and
should not exceed 28 pages.  Shorter submissions, including technical
notes also are solicited.

Electronic submissions are required; postscript or Acrobat PDF will be
accepted.  Please follow the instructions given at:
http://www.research.microsoft.com/research/datamine/Ksub-e-instr.txt
and ftp your paper to ftp.research.microsoft.com in the directory
InComing.  Specifically, follow the following:
  ftp ftp.research.microsoft.com
  anonymous
  <your-username>@
  cd InComing
  binary
  put <file.XX> 


In addition, please e-mail the following form to ecommerce-dm@cs.stanford.edu
with the subject line
       Submission to special issue of E-commerce and Data Mining
______________________________________________________________________

Paper title:
Authors:
Contact author:
Contact author's e-mail: 
Paper ftp'ed on date: XX-Nov-1999
______________________________________________________________________

You do not have to submit hardcopies to Kluwer.  The editors will send
hardcopies of all papers in one package.  If you do not receive
confirmation of receipt three days after the deadline, please send
e-mail to the editors directly.

   Ronny Kohavi and Foster Provost
   ecommerce-dm@cs.stanford.edu