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 XXII conference is the leading European event of researchers and professionals in Operational Research. The "Data Mining and Knowledge Discovery" Stream within EURO XXII provides 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 XXII management system (http://euro2007.vse.cz) 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 2008. 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.