CALL FOR PAPERS MDM/KDD2005 - Sixth International Workshop on Multimedia Data Mining (August 21, 2005) in conjunction with KDD 2005: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. August 21-24, 2005 Chicago, IL, USA MDM/KDD2005 WORKSHOP THEME: "Mining Integrated Media and Complex Data" Paper submission due 31 May 2005 Workshop Website: http://www-sop.inria.fr/axis/mdm-kdd05/MDM05.htm Workshop contact: - Fatma.Bouali@univ-lille2.fr - lkhan@utdallas.edu - Florent.Masseglia@sophia.inria.fr Workshop Date: 21 August, 2005 WORKSHOP CHAIRS Fatma Bouali - University of Lille2, France email: Fatma.Bouali@univ-lille2.fr Latifur Khan - University of Texas at Dallas email: lkhan@utdallas.edu Florent Masseglia - INRIA Sophia Antipolis, France email: florent.masseglia@sophia.inria.fr WORKSHOP STEERING COMMITTEE Chabane Djeraba - University of Sciences and Technologies of Lille, France Valery A. Petrushin - Accenture Technology Labs, USA Simeon J. Simoff - University of Technology Sydney, Australia WORKSHOP PROGRAM COMMITTEE (to be confirmed) Ramazan S. Aygun - University of Alabam, Huntsville John Risch Battelle - Pacific Northwest National Lab, USA Omar Boussaid - University of Lyon 2, France K. Slecuk Candan - Arizona State University, USA Claude Chrisment - University of Toulouse, France Chitra Dorai - IBM Thomas J. Watson Research Center, USA Alex Duffy - University of Strathclyde, UK Pierre Gançarski - University of Strasbourg, France William Grosky - University of Michigan,USA Howard J. Hamilton - University of Regina, Canada Wynne Hsu - National University of Singapore, Singapore Oktay Ibrahimov - Institute of Cybernetics, Azerbaijan Manfred Jeusfeld - Tilburg University, Netherlands Joemon M Jose - University of Glasgow, UK Odej Kao - Technical University of Clausthal, Germany Paul Kennedy - University of Technology-Sydney, Australia Brian Lovell - University of Queensland, Australia Mark Maybury - MITRE Corporation Dennis McLeod - University of Southern California, USA Dunja Mladenic - J. Stefan Institute, Slovenia Milind Naphade - IBM T.J. Watson Research Center, USA Mario Nascimento - University of Alberta, Canada Monique Noirhomme-Fraiture - Institut d'Informatique, FUNDP, Belgium Andreas Nürnberger - University of Magdeburg, Germany Vincent Oria - New Jersey Institute of technology, USA Tom Osborn - The NTF Group, Australia Balakrishnan Prabhakaran - University of Texas at Dallas Christian Preda - University of Lille 2, France Simone Santini - University of California, San Diego, USA John R. Smith - IBM T. J. Watson Research Center, USA Yuqing Song - The University of Michigan at Dearborn Sundar Venkataraman - (Rockwell Scientific Corporation) Zhaohui Tang - Microsoft, USA Brigitte Trousse - INRIA Sophia Antipolis, France Duminda Wijesekera - George Mason University, USA Wensheng Zhou - Hughes Research Lab, USA Djamel Zighed - University of Lyon 2, France DEADLINES Submissions Due: 31 May, 2005 Acceptance: 21 June, 2005 Camera ready copy: 11 July, 2005 Workshop Day: 21 August, 2005 WORKSHOP MISSION This year the Multimedia Data Mining workshop will bring together a diverse group of academics and industry practitioners in integrated state-of-art analysis of digital media content, multimedia database systems and multimedia data streams. The workshop will address issues specifically related to mining information from multi-modality, multi-source, multi-format data in an integrated way. This workshop also focus on semantic understanding of multimedia content, and knowledge discovery in other complex data. Many analysis domains collect data from several sources, including static databases, streaming data, web pages, or conditionally collected data. Data appear in multiple forms, including structured, numeric, free text, video, image, speech, or combinations of several types. Analysis in these domains requires combining of techniques and integrating methods. TOPICS OF INTEREST The major topics of the workshop include but are not limited to the following groups: - Integrated mining of different data formats (text, speech, video, structured, image, relational data) - Combining mining results from different sources - Integrated mining methods for eBusiness - Combined mining methods for engineering and manufacturing - Integrated mining for Homeland Security - Mining of data streams combined with structure data - Visual data mining of multi-format/ Multimedia data - Multi-relational Data Mining. The focus is on mining data residing in relational databases. - Visual data mining of multi-format/multimedia data. - Theoretical frameworks for multimedia data mining. - Multimedia data mining methods and algorithms. - Multimedia data sampling and preprocessing. - Data visualization and sonification. - Representation and reuse of discovered knowledge. - Multimedia data descriptions languages and formats. - Evaluation of 'interestingness', 'novelty' and validity of results. - Topic and event detection in multimedia data (including video). - Extracting semantics from multimedia databases. - Mining scientific multimedia data. - Integrated data mining in multimedia information systems. - Knowledge discovery in facial data. - Man-machine interfaces for multimedia data mining. - Complexity, efficiency and scalability of multimedia data mining algorithms. - Data mining virtual communities and virtual worlds. - Data mining in collaborative virtual environments and virtual reality systems. - Visual and audio support for multimedia mining. - Visual data mining of multimedia data. - Multi-agent environments for concurrent mining of heterogeneous data. - Real-time multimedia data mining systems. - Using MPEG-4 and MPEG-7 standards for multimedia data mining. - Semantic content analysis for multimedia retrieval - Multi-modal multimedia retrieval - Retrieval of multimedia semantics - Multimedia retrieval for pervasive devices - Semantic web and annotation - Mining and analysis of data generated by virtual reality systems, - Discovery in musical data, - Knowledge Discovery in other complex data (Spatial, VRML, XML, etc.), Software demonstrations are welcome. We encourage submissions of 'greenhouse' work, which present early stages of cutting-edge research and development. SUBMISSION There is no restriction on the length of submissions. Contact author and email address should be specified. Electronic submissions of papers in PDF, PS, RTF or Microsoft Word Document formats are preferable. Submission templates are available at the workshop website. The electronic submission can be done via the conference management system at the workshop website or by email to the Workshop contact (Fatma.Bouali@univ-lille2.fr, lkhan@utdallas.edu, florent.masseglia@sophia.inria.fr) DISSEMINATION Peer-reviewed papers, accepted for presentation at the workshop will be published in the workshop proceedings. The workshop organisers plan to publish an edited collection of longer and revised contributions, either as a special issue of related journal or as an edited book. For details, please, visit the workshop Web site at: http://www-sop.inria.fr/axis/mdm-kdd05/MDM05.htm