KDMCD'2002 International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD'02), Taipei, Taiwan, May 6, 2002 http://db.cs.ualberta.ca/kdmcd02/ In conjunction with the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8 2002 http://arbor.ee.ntu.edu.tw/pakdd02/ OBJECTIVES Multimedia Data Mining, also known as Knowledge Discovery from Multimedia, is not Information Retrieval from multimedia, contrary to popular belief, but the extraction of interesting patterns and new facts from multimedia objects. Knowledge discovery in multimedia databases is focused on the synergy between two fields: Knowledge Discovery and Multimedia Databases. Knowledge discovery and data mining, which consist in extracting valuable and relevant knowledge from large volumes of data, have received much attention these last years. The approaches used for knowledge discovery are non-trivial and often domain specific, depending on the canonical mining primitives. The data patterns discovered are typically used in decision-making whether in business, in scientific research or other. While significant research has been done on knowledge discovery from large corpora, most of the approaches are related to numerical transactional data such as market-basket analysis, web activities, etc., thus very little has been achieved on mining multimedia data probably due to the complexity of multimedia and multimedia repositories. The aim of this workshop is to bring together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines with potential in multimedia data mining. TOPICS OF INTEREST The major topics of the workshop include but are not limited to: - Multimedia specific data mining methods and algorithms, - Complexity, efficiency and scalability of multimedia data mining algorithms, - Multimedia data mining and interactive exploration, - Data and Knowledge visualization, - Mining and analysis of data generated by virtual reality systems, - Integrated data mining of text and image data, - Discovery in musical data, - Methods for the evaluation of mining results, - Knowledge Discovery in other complex data (Spatial, VRML, XML, etc.), - Data description languages, meta data, data formats, - Representation of discovered knowledge for data mining in multimedia, - Multimedia data representation and reuse of discovered knowledge, - Techniques for web multimedia preparation, including cleaning, - Transforming, sampling, - Multimedia mining methodologies for different web data types, - Web-content mining, - Internet portal and multimedia mining, - Multimedia applications of knowledge discovery, - Intelligent electronic documents, - Content-based discovery methods. We also encourage submissions, which present early stages of research work, software applications and solutions. WORKSHOP CHAIRS Chabane Djeraba, IRIN, Polytech^Nantes, France Osmar R. Zaane University of Alberta, Canada PROGRAM COMMITTEE Frederic Andres NII, Japan Bruno Bachimont INA, France Nadia Bianchi-Berthouze University of Aizu Nozha Boujemaa INRIA, France Liming Chen ICTT-ECL, France Claude Chrisment University of Toulouse, France William Grosky Michigan Dearborn University, USA Mohand-Said Hacid LISI, France Alexander G. Hauptmann Carnegie Mellon University, USA Nabil Layaida INRIA Rhne Alpe, Grenoble Mario Nascimento University of Alberta, Canada Jian Pei Simon Fraser University, Canada Jean-Marie Pinon LISI-INSA, France Zbigniew Rass UNC Charlotte, USA Florence Sedes University of Toulouse, France Simeon J. Simoff University of Sydney, Australia Dong Thi Bich Thuy C.I. Vietnam IMPORTANT DATES Paper submission: February 15, 2002 Notification: March 1, 2002 Camera-ready: March 15, 2002