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. Further development of methods for Text Mining enables handling textual data in addition to well structured data in databases. Large amount of data and activities on the Web is further addressed in Web Mining where in addition to content of the Web documents, the structure of the Web and Web log-files are analysed.
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-2005 formatting instructions. A sample format in Microsoft Word is available at http://is.ijs.si/primer.doc. The authors should submit the papers by August 31, 2005 preferably in Microsoft Word (or alternatively in.pdf) format by e-mail to: Dunja.Mladenic@ijs.si with "Subject: SiKDD 2005 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.
Invited talks, presentations of accepted papers and demonstration of developed tools.
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
Further information on registration, accommodation etc. is available at http://is.ijs.si, and on telephone +386 1 4773 900, or fax. +386 1 4251 038