CFP - MDM/KDD - 2002
Chabane DJERABA <[email protected]> Tue, 14 May 2002 18:49:25 +0100
| Newsgroups | gmane.comp.ai.case-based-reasoning |
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--------------0D0A4EE624717CF1108FEE90 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit CALL FOR PAPERS MDM/KDD2002 - The Third International Workshop on Multimedia Data Mining in conjunction with 8th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining July 23-26, 2002, Edmonton, Alberta, Canada Paper submission due 24th May 2002. Workshop Website: http://www-staff.it.uts.edu.au/~simeon/mdm_kdd2002/ Workshop contact: [email protected] Workshop Date: 23 July, 2002 Workshop chairs: Simeon J. Simoff ([email protected]) and Chabane Djeraba ([email protected]) Local chair: Osmar R. Zaiane ([email protected]) TOPICS OF INTEREST The major topics of the workshop include but are not limited to: - theoretical frameworks for multimedia data mining; - multimedia data mining methods and algorithms; - multimedia data sampling and preprocessing; - data sonification and visualization; - 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; - integrated data mining of text and image data; - integrated mining of medical multimedia data; - mining scientific multimedia data - integrated data mining in multimedia information systems - discovering patterns in musical and architectural data - 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; - multiagent environments for concurrent mining of heterogeneous data; - real-time multimedia data mining systems; - mining digital video, audio and other multimedia components. We also encourage submissions, which present early stages of research work, software applications and solutions. ---- Simeon Simoff & Chabane Djeraba --------------0D0A4EE624717CF1108FEE90 Content-Type: text/html; charset=us-ascii Content-Transfer-Encoding: 7bit <!doctype html public "-//w3c//dtd html 4.0 transitional//en"> <html> CALL FOR PAPERS <p><b><font size=+1>MDM/KDD2002 - The Third International Workshop on</font></b> <br><b><font size=+1>Multimedia Data Mining</font></b> <p>in conjunction with <p><b>8th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining July 23-26, 2002, Edmonton, Alberta, Canada</b> <p>Paper submission due <b>24th May 2002</b>. <p>Workshop Website: <i><A HREF="http://www-staff.it.uts.edu.au/~simeon/mdm_kdd2002/">http://www-staff.it.uts.edu.au/~simeon/mdm_kdd2002/</A></i> <br>Workshop contact: <i>[email protected]</i> <br>Workshop Date: 23 July, 2002 <p>Workshop chairs: <br>Simeon J. Simoff ([email protected]) and Chabane Djeraba ([email protected]) <p>Local chair: <br>Osmar R. Zaiane ([email protected]) <br> <p><b>TOPICS OF INTEREST</b> <p>The major topics of the workshop include but are not limited to: <p>- theoretical frameworks for multimedia data mining; <br>- multimedia data mining methods and algorithms; <br>- multimedia data sampling and preprocessing; <br>- data sonification and visualization; <br>- representation and reuse of discovered knowledge; <br>- multimedia data descriptions languages and formats; <br>- evaluation of 'interestingness', 'novelty' and validity of results; <br>- topic and event detection in multimedia data (including video); <br>- extracting semantics from multimedia databases; <br>- integrated data mining of text and image data; <br>- integrated mining of medical multimedia data; <br>- mining scientific multimedia data <br>- integrated data mining in multimedia information systems <br>- discovering patterns in musical and architectural data <br>- knowledge discovery in facial data <br>- man-machine interfaces for multimedia data mining; <br>- complexity, efficiency and scalability of multimedia data mining algorithms; <br>- data mining virtual communities and virtual worlds; <br>- data mining in collaborative virtual environments and virtual reality systems; <br>- visual and audio support for multimedia mining; <br>- visual data mining of multimedia data; <br>- multiagent environments for concurrent mining of heterogeneous data; <br>- real-time multimedia data mining systems; <br>- mining digital video, audio and other multimedia components. <p>We also encourage submissions, which present early stages of research work, software applications and solutions. <p>---- <br>Simeon Simoff & Chabane Djeraba</html> --------------0D0A4EE624717CF1108FEE90--