Data Mining and Knowledge Discovery (DMKD) is a
well-established
interdisciplinary field in the crossroads of statistics, operational
research, machine learning and database management, with great
applications in several fields, such as decision making and
optimisation issues. Raw datasets complexity and volume ask for robust
pre-processing techniques, high-quality analysis relies on
sophisticated, high-performance DMKD techniques, algorithms and
infrastructures, while efficient post-processing of data mining results
is also an emerging request. EURO conference is the leading European
event of researchers and professionals in Operational Research.
Following the success of the previous DMKD stream at EURO'2007, a "Data
Mining and Knowledge Discovery" Stream is again included in the
EURO'2009 program, providing a venue for researchers who are addressing
the above problems to present their work in a high quality environment.
Research, position and experience papers are welcomed. Topics of interest include, but are not limited to:
Paper abstracts should be submitted electronically to the EURO'2009
management system according
to the guidelines posted there. At least one author of each accepted
abstract is expected to participate in the conference and present
his/her work. Informal proceedings including accepted abstracts will be
distributed on site. Accepted works will be considered for publication
in a special issue of the International Journal of Business
Intelligence and Data Mining (IJBIDM), scheduled for the first quarter
of 2010. Authors of accepted EURO abstracts will be invited to submit
full articles (a typical size is between 7000 and 9000 words) and a
number of 6-8 papers will be selected for the special issue after a
second review round.