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Humboldt-Universität zu Berlin - High Dimensional Nonstationary Time Series

Chair of Statistics - Workshop Data and Information Visualisation 2006

A satellite Meeting of Compstat 2006

Date: August 23rd - 25th 2006   logos.jpg
Place: Spandauer Strasse 1, 10178 Berlin
Contact: ziegenhagen@wiwi.hu-berlin.de
Flyer: PDF version
Datamining Tutorial (PDF)
Organizer: Humboldt-Universität zu Berlin
School of Business and Economics
Institute for Statistics and Econometrics
Prof. Dr. Wolfgang Härdle
Spandauer Str. 1
10178 Berlin, Germany

Scientific Program and Local Organizing Committee

Scientific Program Committee Local Organizing Commitee
A. Bowman, University of Glasgow, United Kingdom W. Härdle, Humboldt-Universität zu Berlin, Germany
C. Chen, Academia Sinica, Taiwan L. Hildebrandt, Humboldt-Universität zu Berlin, Germany
J. Gentle, George-Mason-University, USA S. Klinke, Humboldt-Universität zu Berlin, Germany
W. Härdle, Humboldt-Universität zu Berlin, Germany A. Unwin, University of Augsburg, Germany
Y. Mori, Okayama University of Science, Japan H. Wu, Academia Sinica, Taiwan
A. Unwin, University of Augsburg, Germany U. Ziegenhagen, Humboldt-Universität zu Berlin, Germany

Preliminary Programme

August 23rd Tutorial on Datamining, held by Prof. Jerry Friedman (Stanford)
August 24th Welcome Reception, Invited/Contributed Sessions, Conference Dinner
August 25th Invited and Contributed Sessions

Tutorial on Datamining

Prof. Jerry Friedman from Stanford University, a leader in the field, will conduct a one-day interactive workshop on predictive data mining and decision trees and its applications in business and research. The target group are statisticians; business analysts and data miners working in research, marketing and fraud detection; managers of teams in such areas; academics with interest in applications.

Announcement of Datamining Tutorial (PDF)

  1. What is data mining?
  2. Patterns in Data
  3. Statistics in data mining.
  4. Predictive data mining
  5. Regression Trees
  6. Classification Trees
  7. Bagged trees / Random Forests
  8. Boosted trees / MART
  9. Rule based ensembles / RuleFit
early registration
until April 1st
standard registration until June 1st
late registration after June 1st
Tutorial Fee* 175 EUR 205 EUR 240 EUR
* all prices plus 16% Value-Added-Tax (Mehrwertsteuer)

To register for the tutorial please fill out and return the registration form (PDF), you will then receive an individual invoice. Due to technical reasons a registration via the online registration tool is not possible.

Workshop Participation Fee and Registration

early registration
until April 1st
standard registration until June 1st
late registration after June 1st
IASC/ISI 250 EUR 300 EUR 350 EUR
Students 150 EUR 150 EUR 200 EUR
Others 400 EUR 500 EUR 600 EUR

To register for the workshop please use the registration system at edoc.hu-berlin.de/div2006. If you need and individual invoice please also use the registration tool and return the form with a note on the details of the required document.

Instructions for Authors

The contributed papers will be published in a special issue of the Computational Statistics journal.

Participants of the workshop willing to submit a contributed paper need to submit their abstract (maximum one page) as ASCII text until March 31th 2006 via the upload dialog of the workshop management tool.

In case of unanswered questions concerning the contributed papers please contact sigbert@wiwi.hu-berlin.de