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. We are now close to the end of the first year and quite a few new research results are being expected. 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.
Papers must be received by June 5, 1999. Camera-ready copy of accepted papers will be due August 15, 1999. However, authors are strongly recommended to use LaTeX2e. Papers that have appeared in journals or other conferences are not appropriate for DS'99. We are planning to publish the proceedings as a volume in the Lecture Notes Series in Artificial Intelligence, Springer-Verlag.