[Statlist] "Statistical Data Mining" by Professor Brian D. Ripley

[Werner Stahel]

Insightful AG and Seminar for Statistics of ETH Zürich present: 

   "Statistical Data Mining"

Lecturer: Prof. Brian Ripley
Dates: 3-4 April 2003
Place: Technopark Zurich, Switzerland
Hours: 9.00 - 17.00 Thursday and Friday
Further information and registration:
http://www.insightful.com/services/training/datamining_by_Ripley.asp

Data Mining has become popular in science, engineering and in
traditionally data-rich industries such as banking, insurance
and market research. There are emerging applications in
official, environmental and medical statistics. Data Mining,
also known as 'knowledge discovery in databases', is one of many
terms for finding structure in large-scale datasets on the
boundaries of statistics, engineering, machine learning and
computer science.

Insightful AG and Seminar of Statistics of ETH Zürich would like
to invite you to attend the course "Statistical Data Mining" by
Professor Brian D. Ripley.  Dr. Ripley is the Professor of
Applied Statistics at the University of Oxford and a member of
the Department of Statistics as well as a Professorial Fellow of
St. Peter's College. He is a leading figure in the S community
and in the statistics community at large. With Bill Venables, he
wrote the standard work on S-Plus: Modern Applied Statistics
with S-PLUS, now in its fourth printing and, more recently, S
Programming.

Yours Sincerely
Robert Schumacher
General Manager Insightful AG