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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Athens, Greece, September 5-9, 2011 www.ecmlpkdd2011.org Key dates Workshop proposals: March 1, 2011 Tutorial proposals: March 1, 2011 Paper abstracts: April 5, 2011 Extended to April 12 Full papers: April 12, 2011 Extended to April 19 Author notification: June 3, 2011 Camera ready: June 12, 2011 Organization General co-Chairs • A. Likas (Univ. of Ioannina) • Y. Theodoridis (Univ. of Piraeus) Programme Committee chairs • D. Gunopulos (Univ. of Athens) • T. Hofmann (Google Research) • D. Malerba (Univ. of Bari) • M. Vazirgiannis (Athens Univ. of Economics and Business) The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) will take place in Athens, Greece from September 5th to 9th, 2011. This event builds upon a very successful series of 21 ECML and 14 PKDD conferences, which have been jointly organized for the past ten years. ECML/PKDD has become the major European scientific event in these fields and in 2011 it will comprise presentations of contributed papers and invited speakers, a wide program of workshops and tutorials, a discovery challenge, a demo track and an industrial track. We invite submissions on all aspects of machine learning, knowledge discovery and data mining. We especially encourage submissions of papers that describe the application of machine learning and data mining methods to real-world problems, and highlight new research challenges in new domains such as the web, medicine, biology, neuroscience, engineering, government fields. Submissions that demonstrate both theoretical and empirical rigor are also highly encouraged. The conference proceedings will be published by Springer Verlag ("Lecture Notes in Artificial Intelligence" Series). Authors of selected papers will be invited to submit a significantly extended version of their paper to two postconference special issues of: - Machine Learning Journal - Data Mining & Knowledge Discovery Journal For more information, please check the ECML/PKDD webpage at: http://www.ecmlpkdd2011.org/