Dina
Research School
Workshop: Visualization and Data Mining
Tune Landboskole, 6-7 December 2001
Preliminary program
Thursday, December 6, 2001
- 11.00:
- Arrival and registration
- 12.00:
- Lunch
- 13.00:
- Welcome to the workshop, presentation of participants.
Anders Ringgaard Kristensen, Dina Research School
- 13.15:
- What is visualization, general introduction:
The priciples of modern visualization, examples from applications in science
context.
Per Grove Thomsen,
Dina Research school
- 14.00:
- Short break
- 14.15:
- Visualization tools in Matlab
Per Grove Thomsen,
Dina Research school
- 15.00:
- Coffee break
- 15.30:
- Theory session I: Multivariate
data analysis using Principal Component Analysis
- Frans van den Berg, Department of dairy and Food Science, KVL
- 16.10:
- Short break
- 16.20:
- Theory session II: Multivariate
regression modeling using Partial Least Squares
Frans van den Berg, Department of dairy and
Food Science, KVL
- 17.00:
- Computer exercises I
- 18.00:
- Dinner
- 19.00:
- Theory session III: Chemometrics from a
statistical perspective
- Per Bruun Brockhoff, Department of Mathematics and Physics, KVL.
- 20.00:
- Computer exercises II
In the second computer session the hands-on experience is continued
with emphasis on regression model building using PLS.
- 22.00:
- Coffee and sandwich
Friday, December 7, 2001
- 8.00:
- Breakfast
- 8.45:
- How to deal with all sorts of data formats
Stefan Mayer, Informatics and Mathematical Modeling, Danish
Technical University
- 9.30:
- Short break
- 9.40
- IBM Data Explorer - and similar advanced workbench
tools for visualization
Stefan Mayer, Informatics and Mathematical Modeling, Danish
Technical University
- 10.25:
- Coffee break
- 10.45:
- Computer exercises
- 11.45:
- Closing and evaluation
Anders Ringgaard Kristensen, Dina Research School
- 12.00:
- Lunch and departure
Author:
phd@dina.kvl.dk. Updated: 08 november 2001