Mining Multimedia and Complex Data

KDD Workshop MDM/KDD 2002. PAKDD Workshop KDMCD 2002. Revised Papers

  • Osmar R. Zaïane
  • Simeon J. Simoff
  • Chabane Djeraba
Conference proceedings PAKDD 2002

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2797)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2797)

Table of contents

  1. Front Matter
  2. JungHwan Oh, JeongKyu Lee, Sanjaykumar Kote, Babitha Bandi
    Pages 18-35
  3. Latifur Khan, Lei Wang
    Pages 36-49
  4. Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman
    Pages 68-83
  5. Mihai Datcu, Klaus Seidel
    Pages 84-99
  6. William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang
    Pages 100-117
  7. Mariana Ciucu, Patrick Heas, Mihai Datcu, James C. Tilton
    Pages 118-133
  8. Gang Wei, Valery A. Petrushin, Anatole V. Gershman
    Pages 149-163
  9. Zhigang Li, Margaret H. Dunham, Yongqiao Xiao
    Pages 183-198
  10. Debbie Richards, Usama Malik
    Pages 199-216
  11. Wei-Hao Lin, Alexander Hauptmann
    Pages 217-231
  12. Gregory Fernandez, Chabane Djeraba
    Pages 232-247
  13. Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
    Pages 248-265
  14. Aruna Lorensuhewa, Binh Pham, Shlomo Geva
    Pages 266-280
  15. Back Matter

Other volumes

  1. 6th Pacific-Asia Conference, PAKDD 2002 Taipei, Taiwan, May 6–8, 2002 Proceedings
  2. Mining Multimedia and Complex Data
    KDD Workshop MDM/KDD 2002. PAKDD Workshop KDMCD 2002. Revised Papers

About these proceedings


1 WorkshopTheme Digital multimedia di?ers from previous forms of combined media in that the bits that represent text, images, animations, and audio, video and other signals can be treated as data by computer programs. One facet of this diverse data in termsofunderlyingmodelsandformatsisthatitissynchronizedandintegrated, hence it can be treated as integral data records. Such records can be found in a number of areas of human endeavour. Modern medicine generates huge amounts of such digital data. Another - ample is architectural design and the related architecture, engineering and c- struction (AEC) industry. Virtual communities (in the broad sense of this word, which includes any communities mediated by digital technologies) are another example where generated data constitutes an integral data record. Such data may include data about member pro?les, the content generated by the virtual community, and communication data in di?erent formats, including e-mail, chat records, SMS messages, videoconferencing records. Not all multimedia data is so diverse. An example of less diverse data, but data that is larger in terms of the collected amount, is that generated by video surveillance systems, where each integral data record roughly consists of a set of time-stamped images – the video frames. In any case, the collection of such in- gral data records constitutes a multimedia data set. The challenge of extracting meaningful patterns from such data sets has led to the research and devel- ment in the area of multimedia data mining.


Internet data mining association rule mining classification complex data mining data mining image information mining knowledge discovery master data management multimedia agents multimedia data mining spatio-temporal data mining video mining

Editors and affiliations

  • Osmar R. Zaïane
    • 1
  • Simeon J. Simoff
    • 2
  • Chabane Djeraba
    • 3
  1. 1.University of AlbertaCanada
  2. 2.School of Computing and MathematicsUniversity of Western SydneySydneyAustralia
  3. 3.LIFL-UMR CNRS 8022, Laboratoire d’Informatique Fondamentale de LilleFrance

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-20305-6
  • Online ISBN 978-3-540-39666-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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