*** CALL FOR PAPERS ***
Workshop on Data Mining in Economics, Marketing and Finance
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)
=== 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:
Based on personal and demographic attributes together with
purchasing history, which consumers are most likely to respond to a
particular product or advertising campaign ?
Given data on whether a customer has purchased product A, B, and
C, who is likely to purchase product D ?
Using stock market data, what are the past patterns that proceed
price turning points ?
Which population subgroups will react negatively to specific
macroeconomic policy changes ?
Using supermarket databases, what are the characteristics of
"bargain seekers" ?
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:
New techniques/algorithms
Success/failure case stories
Comparisons between different tools
New ideas for future research
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 welcome 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. Hans Jessen, Millward Brown, UK
Dr. Costas Koutroumbas, National Telecom. Organisation, Greece
Prof. Gholamreza Nakhaeizadeh, DaimlerChrysler, Germany
Dr. George Paliouras, NCSR Demokritos, Greece
=== Submission ===
Interested authors are requested to submit a paper, of no more than 10
pages, before *** 1 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 ===
1 March, 1999 Deadline for paper submission
15 March, 1999 Notification of acceptance
1 April, 1999 Deadline for final camera ready papers
5-16 July, 1999 ACAI-99