A new generation of computational techniques and tools is required to support the extraction and the discovery of useful knowledge from the rapidly growing volumes of data. Raw data is rarely of direct benefit. Its true value is reflected by our ability to extract information useful for decision support or for exploration and understanding of the phenomena exhibited in the data source. A systematic research is planned that ranges over philosophy, logic, reasoning, computational learning and system developments. The main objective of this conference is to provide an open forum for intensive discussions and interchange of new information among researchers working in the new area of Discovery Science.
Electronic submission is highly preferred.
However, authors strongly recommended to use LaTeX2e. Papers that have appeared in journals or other conferences are not appropriate for DS'2000. Proceedings will be published as a volume in the Lecture Notes Series in Artificial Intelligence, Springer-Verlag, and will be available at the conference. Sato Kyoto University Taisuke Sato Tokyo Institute of Technology Call for Posters and Demos DS'2000 also invites posters and software demonstrations as an important part of the conference. After a reviewing process by PC committee, the accepted abstracts will be included in the proceedings.