Helsinki, 20 August 2002
13th European Conference on Machine Learning (ECML'02)
6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)
under the auspices of the
KDnet - the European Network of Excellence in Knowledge Discovery
In statistics, the term "official data" denotes data collected in censuses and statistical surveys by National Statistics Institutes (NSIs), as well as administrative and registration records collected by government departments and local authorities. They are used to produce "official statistics" for the purpose of making policy decisions, and to facilitate the appreciation of economic, social, demographic, and other matters of interest to the governments, government departments, local authorities, businesses, and to the general public. For instance, population and economic census information is of great value in planning public services (education, fund allocation, public transport), as well as in private businesses (placing new factories, shopping malls, or banks, as well as marketing particular products). Moreover, survey data on specific topics, such as labour force, time use, household budget, are regularly collected by NSIs to keep updated information on some economic and social phenomena.
The application of data mining techniques to official data has great potential in supporting good public policy and in underpinning the effective functioning of a democratic society. Nevertheless, it is not straightforward and requires a challenging methodological research, which is still in an initial stage. In particular, to develop successful applications of data mining techniques to official data, the following issues must be dealt with:
The workshop will maintain a balance between theoretical issues and descriptions of case studies to promote synergy between theory and practice. Research contributions are welcome even though they have not been tested on "official data" but have a clear relation with some of the research issues reported in the technical description. Topics of interest include, but are not limited to:
The workshop aims to be a highly communicative meeting place for researchers working on similar topics, but coming from different communities. In order to achieve these goals, the workshop will consist of two invited talks, followed by short presentations and longer discussions. Each author will be encouraged to read another accepted paper and to comment on it after the original talk has been given.
All ECML/PKDD'02 MOD workshop participants must also register for the main ECML/PKDD conference. Workshop attendance will be limited to registered participants.
Authors are invited to submit original research contributions or experience reports in English. Submitted papers must be unpublished and substantially different from papers under review. Papers that have been or will be presented at small workshops/symposia whose proceedings are available only to the attendees may be submitted.
Papers should be double-spaced and no longer than 5000 words (about 12 single-spaced pages). Papers should be sent electronically (postscript or pdf) not later than May 24, 2002 email@example.com
Papers will be selected on the basis of review of full paper contributions. Authors should make certain that the data mining techniques they describe deal with the special issues that are associated with official data. Notification of acceptance will be given by June 14, 2002. Final camera-ready copies of accepted papers will be due by June 28, 2002. The proceedings will be printed by the ECML/PKDD organizers and distributed at the workshop. A web-publication of the proceedings is expected after the conference.
There is a joint paper style for the proceedings of all ECML/PKDD workshops. Submitted papers should be formatted according to the Springer-Verlag Lecture Notes in Artificial Intelligence guidelines. Authors' instructions and style files can be downloaded from http://www.springer.de/comp/lncs/authors.html.
|Submission deadline:||May 24, 2002|
|Notification of acceptance:||June 14, 2002|
|Camera-ready copies of papers:||June 28, 2002|
|Workshop:||August 20, 2002|
This workshop will be organized by:
Paula Brito, Faculty of Economics, University of Porto, Portugal
Donato Malerba, Department of Informatics, University of Bari, Italy
Timo Alanko, Statistical R&D Unit, Statistics Finland, Helsinki, Finland
Edwin Diday, CEREMADE, Paris-9 Dauphine University, Paris, France
Floriana Esposito, Department of Informatics, University of Bari, Italy
Paulo Gomes, National Institute of Statistics (INE), Lisbon, Portugal
Haralambos Papageorgiou, Department of Mathematics, University of Athens, Athens, Greece
Willi Klösgen, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Carlos Marcelo, National Institute of Statistics (INE), Lisbon, Portugal
Michael May, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Monique Noirhomme, Institut d'Informatique, University Notre-Dame de la Paix, Namur, Belgium
Mireille Summa, CEREMADE, Paris-9 Dauphine University, Paris, France
Ian Turton, Centre for Computational Geography, University of Leeds, Leeds, UK
The 2002 IAOS Conference on Official Statistics and the New Economy