Data handling technologies have significantly progressed in the last ten years. The first phases mainly dealing with storing and efficiently accessing the data, resulted in the development of industry delivering tools for handling large databases, standardization of related processes, queering languages, etc. When the data storage was not a primary problem any more the need for improving the database organization resulted in the databases supporting not only transactions but also analytical views of the data. At this point data warehousing with OLAP (On-Line-Analytical-Processing) entered as a usual part of a company information system. The OLAP paradigme stil requires from the user to set well defined questions which is not always easy and possible. This led to the development of Data Mining offering automatic data analysis trying to obtain some new information from the existing data and enabling the user some new insights in the data.
Authors are invited to contribute papers that present the state-of-the-art, development goals, applications and future trends in the above mentioned areas.
Authors are invited to submit complete papers not exceeding 4 pages, written in English and formatted following IS-2002 formatting instructions. A sample format in Microsoft Word is available at http://is.ijs.si/primer.doc. The authors should submit the papers by 10th September 2002 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SIKDD 2002 paper submission".The accepted contributions will be published on this Web page and in the conference proceedings, which will be made available to participants upon registration.
Marko Grobelnik
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Marko.Grobelnik@ijs.si
Dunja Mladenic
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si, Dunja.Mladenic@cs.cmu.edu
Further information on registration, accommodation etc. is available at http://is.ijs.si, and on telephone +386 1 4773 644, or fax. +386 1 4251 038
This Conference is partially supported by the European FP5 project "Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise (Sol-Eu-Net)".