The MDM/KDD workshop brings together experts in the
analysis of digital media content, multimedia databases, knowledge
engineers and domain experts from different applied disciplines with
potential in multimedia data mining. The workshop will facilitate the
cross-disciplinary exchange of ideas. The major topics of the workshop
include but are not limited to the following:
- Data mining of media rich platforms (on-line communities, blogs, social networks, virtual communities, virtual worlds).
- Data mining of large datasets of user generated content (e.g., YouTube, Flickr, etc.).
- Integrated mining of different data formats (text, speech, video, images, relational data).
- Combination of mining results from different sources.
- Mining of data streams combined with structured data.
- Representation and reuse of discovered multimedia knowledge.
- Mining scientific multimedia data.
- Man-machine interfaces for multimedia data mining.
- Multimodal techniques for interactive multimedia data mining and exploration (e.g., sonification, etc.).
- Complexity, efficiency and scalability of multimedia data mining algorithms.
- Real-time multimedia data mining systems.
- Knowledge representation and integration for multimedia data mining.
- Multimedia
data mining techniques for specific domains and applications (e.g.,
biomedicine, education, entertainment, security, animation, art,
cultural studies, etc.).
- Theoretical frameworks for multimedia data mining.
- Multimedia data-specific sampling and preprocessing.
- Topic and event discovery in large multimedia repositories
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