CALL FOR PAPERS KDIR 2009 - International Conference on Knowledge Discovery and Information Retrieval web site: http://www.kdir.ic3k.org/ 6 - 8 October 2009 Madeira - Portugal Sponsored by INSTICC Proceedings indexed by DBLP Best papers published by Springer-Verlag ************************************************************** Dear Colleague, KDIR welcomes the submission of position papers. A position paper presents an arguable opinion about an issue. The goal of a position paper is to convince the audience that your opinion is valid and worth listening to, without the need to present completed research work and/or validated results. It is, nevertheless, important to support your argument with evidence to ensure the validity of your claims. A position paper may be a short report and discussion of ideas, facts, situations, methods, procedures or results of scientific research (bibliographic, experimental, theoretical, or other) focused on one of the conference topic areas. The acceptance of a position paper is restricted to the categories of "short paper" or "poster", i.e. a position paper is not a candidate to acceptance as "full paper". All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. Don't hesitate contacting me should you have any questions. Best regards, Vera Coelho KDIR/IC3K Secretariat Av. D.Manuel I, 27A 2.esq. 2910-595 Setubal, Portugal Tel.: +351 265 100 033 Fax: +44 203 014 8639 Email: kdir.secretariat@insticc.org Web: http://www.kdir.ic3k.org ************************************************************************* IMPORTANT DATES Position Paper Submission: June 8, 2009 Authors Notification (position papers): June 24, 2009 Final Position Paper Submission and Registration: July 7, 2009 CONFERENCE TOPICS - Information extraction - Machine learning - Foundations of knowledge discovery in databases - Data analytics - Data mining in electronic commerce - Interactive and online data mining - Process mining - Integration of data warehousing and data mining - Data reduction and quality assessment - Mining high-dimensional data - Mining text and semi-structured data - Mining multimedia data - Structured data analysis and statistical methods - BioInformatics & pattern discovery - Clustering and classification methods - Pre-processing and post-processing for data mining - Visual data mining and data visualization - High performance implementations - Privacy protection and ethics - Software development - Business intelligence applications KEYNOTE SPEAKERS - Andreas Dengel, German Research Center for Artificial Intelligence (DFKI GmbH), Germany - Madjid Fathi, University of Siegen, Germany - David Jensen, University of Massachusetts Amherst, U.S.A. - Dan Kirsch, Knowledge Management Professional Society (KMPro), U.S.A. - Steffen Staab, University of Koblenz, Germany - Justin Zhan, Carnegie Mellon University, U.S.A.