ECML PKDD 2006 Workshop on
Practical Data Mining: Applications, Experiences and Challenges
Recent News (01-09-2006):
The workshop proceedings are now available online!
The workshop schedule is online now.
Recent News (02-08-2006):
The list of accepted papers is now online!
Separate registration for the workshop only is possible, see below!
A Call for Participation leaflet is available as PDF
The Workshop on Practical Data Mining: Applications, Experiences and Challenges
will be held on September 22, 2006 in conjunction with the
17th European Conference on Machine Learning and
the 10th European Conference on Principles and Practice of Knowledge
Discovery in Databases in Berlin, Germany.
Workshop Chairs:
Markus Ackermann,
University of Leipzig
Carlos Soares,
University of Porto
Bettina Guidemann, SAS Deutschland
In Partnership with:
SAS Deutschland, Heidelberg
Introduction
Business, government and science organizations are increasingly moving
towards decision-making processes that are based on information. In
parallel, the amount of data representing the activities of organizations
that is stored in databases is also growing. Therefore, the pressure to
extract as much useful information as possible from this data is very strong.
Data and text mining (DTM) is essentially a technological field enabling the
improvement of the aforementioned processes. DTM research is, thus, essentially
geared towards practical problems and requires permanent feedback from practical
applications. Feedback from people with a business-oriented perspective on DTM
is therefore useful to assess current research work and directions, to assess
how theoretical results and methods developed in the lab stand the test of
real world problems. And not the least to provide researchers with new challenges
to work on.
On the other hand, research on this field is very active, so DTM practitioners
as well as decision makers in general need to be in in touch with state-of-the-art
research. Otherwise, they will not be able to provide the best solutions to
their problems or to the problems of their clients. However, contact between
these two communities is not as frequent as would be desirable. Although data mining,
knowledge discovery and machine learning conferences provide an important contribution,
they mostly attract an audience with a more technical and research background.
Invited Speakers
Stefan Wrobel
(Director of the Fraunhofer Institute for Autonomous Intelligent Systems)
Geo Intelligence — New Business Opportunities and Research Challenges in
Spatial Mining and Business Intelligence
(Abstract)
Ulrich Reincke (Executive Expert Analytics, SAS Institute)
Directions of Analytics, Data and Text Mining — a Software Vendor's View
(Abstract)
Related Events
The Workshop on Practical Data Mining is a follow-up event to the
First Workshop on Data Mining for Business,
which was held on October 3rd, 2005 in conjunction with the
ECML-PKDD 2005 in Porto, Portugal.
Another related and successful event was the
Workshop on Data Mining Case Studies held in November 2005 in conjunction
with the 2005 IEEE International Conference
on Data Mining in Houston, Texas, USA.
Carlos Soares is also Co-Chair of the upcoming
KDD 2006 Workshop on Data
Mining for Business Applications.
Workshop only registration
Registration for the ECML/PKDD conferences includes participation in the workshop.
Registration for the workshop only is possible until August 5 for EUR 290 and includes:
- workshop participation
- printed proceedings of DMBiz workshop
- online access to all workshop and tutorial materials
- conference banquet at Zitadelle Spandau on Thursday evening
- coffee breaks on Friday
To register for the workshop only, please contact Prof. Tobias Scheffer (scheffer at informatik dot hu-berlin dot de).
Sponsors
Project Triana
Project Site-o-Matic
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