Call For Papers

 

Workshop on
Data Mining in Economics, Marketing and Finance

 

13 July 1999

 

MACHINE LEARNING AND APPLICATIONS
Advanced Course on Artificial Intelligence 1999 (ACAI’99)
5-16 July 1999, Chania, Greece
(http://www.iit.demokritos.gr/skel/eetn/acai99)

European Coordinating Committee on Artificial Intelligence (ECCAI)
(http://www.eccai.org)
&
Hellenic Artificial Intelligence Society (EETN)
(http://www.iit.demokritos.gr/skel/eetn)

 

** Selected papers to be published in the international journal of Computational Economics. **

Workshop Background

In recent years there has been a huge increase in Economic, Marketing and Finance databases with examples including Government surveys, supermarket sales information and minute by minute stock prices. The common denominator for these examples is that the amount of data is overwhelming for the typical user and specialized tools are needed to aid in an analysis. Data Mining is the process of analyzing databases to discover and extract knowledge in a more automated way than with classical techniques. The process is "data driven" in the sense that less emphasis is put on prior hypotheses than is the case with classical statistics. By approaching an analysis as a search for knowledge, rather than to test a hypothesis, previously unknown relationships in the data can be discovered.

Examples of the questions that Data Mining can help answer include:

Experience over the past years has proved the usefulness of Data Mining as an important new way of gaining knowledge. As it is still a relatively new research area, it is important to continue to bring theorists and practitioners together to exchange ideas and results.

 

Workshop Objectives

The workshop has two main aims: to present the current trends in Data Mining as a research area and to link this with the experience gained by practitioners. Topics could include:

Data Mining has its roots in practical problem solving. So although technical topics are encouraged, the main focus will be on Data Mining as a tool for applied research. Active discussions are welcomed and in particular the views of users.

Organizing Committee

Prof. Hans Amman
University of Amsterdam,
The Netherlands
Dr. Chris Birchenhall
University of Manchester,
UK
Dr. H. Jessen
Millward Brown – Department of Statistics and Sampling
Olympus Avenue, Tachbrook Park, Warwick CV34 6RJ, UK
E-mail: hans.jessen@uk.millwardbrown.com
Dr. Costas Koutroumbas
National Telecommunications Organisation,
Athens, Greece
Prof. Gholamreza Nakhaeizadeh
DaimlerChrysler,
Germany
Dr. George Paliouras
NCSR Demokritos – Institute of Informatics and Telecommunications
15310 Aghia Paraskevi, Athens, Greece
E-mail: paliourg@iit.demokritos.gr

Submission

Interested authors are requested to submit a paper, of no more than 10 pages, before1 March 1999. Authors of accepted papers will be asked to provide a camera-ready version of their paper before 1 April 1999. The Workshop Proceedings will be published as a technical report in collaboration with the ACAI-99 organization committee.

Papers submitted to the workshop will also be considered for publication in a special issue of the international journal of Computational Economics.

Submissions should be sent by email to:

Dr. Hans Jessen
Millward Brown
Olympus Avenue, Tachbrook Park, Warwick CV34 6RJ, UK
Tel: +44 1926 826100, Fax: +44 1926 833600
Email: hans.jessen@uk.millwardbrown.com

Organisational Issues

The workshop will take place during an afternoon session of ACAI-99, from 14:30 to 18:00. The exact date of the workshop will be announced by the ACAI-99 organizing committee. Anyone registered for the main ACAI-99 event can also attend all the workshops. For the workshop participants who will not be registered for the whole ACAI-99 there will be a fee of 100 Euro.

Important Dates