CFP

Ubiquitous Data Mining for Mobile and Distributed Environments
http://www.cs.umbc.edu/~hillol/pkdd2001/udm.html

Venue:
Joint 12th European Conference on Machine Learning (ECML'01)
and 5th European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD'01)
http://www.informatik.uni-freiburg.de/~ml/ecmlpkdd/

September 3-7, 2001, Freiburg, Germany

Chairs:

 Hillol Kargupta, University of Maryland Baltimore County, USA
(410) 455-3972, hillol@cs.umbc.edu.
 Krishnamoorthy Sivakumar, Washington State University, USA
(509) 335-4969, siva@eecs.wsu.edu.
 Ruediger Wirth, DaimlerChrysler AG, Germany
+49 731 505 2946, ruediger.wirth@daimlerchrysler.com.

Scope of the Workshop:

Knowledge discovery and data mining (KDD) deal with the problem of
extracting interesting associations, classifiers, clusters, and other
patterns from data. KDD is playing an increasingly important role
business, scientific, and engineering applications because of the growing
availability of data in electronic format. The advent of laptops,
palmtops, cell phones, and wearable computers is also making ubiquitous
access to large quantity of data possible. Advanced analysis of data for
extracting useful knowledge is the next natural step in the world of
ubiquitous computing.

This workshop will focus on the state-of-the-art technology for
ubiquitous data mining (UDM) in mobile and distributed environments.
Accessing and analyzing data from a ubiquitous computing device offer many
challenges. For example, the benefits of ubiquitous presence usually do
not come for free. UDM introduces additional cost due to communication,
computation, security, and other factors. So one of the objectives of UDM
is to mine data while minimizing the cost of ubiquitous presence.
Human-computer interaction is another challenging aspect of UDM.
Visualizing patterns like, classifiers, clusters, associations and others,
in portable devices are usually difficult. The small display areas offer
serious challenges to interactive data mining environments. Data
management in a mobile environment is also a challenging issue. Moreover,
the sociological and psychological aspects of the integration between data
mining technology and our lifestyle are yet to be explored.

We need to develop the technology to offer the benefits of KDD in a
ubiquitous fashion in such a way that the cost of ubiquitous presence is
minimized. This workshop will focus on this emerging technology.

Important Dates:

08/06/2001 --- Paper submission deadline
29/06/2001 --- Paper acceptance notification
13/07/2001 --- Paper camera-ready deadline
27/07/2001 --- Workshop proceedings (camera- and Web-ready)

For submission and other details, please see workshop web page above.