Matches in SemOpenAlex for { <https://semopenalex.org/work/W2911546722> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W2911546722 abstract "Data mining efforts are getting beyond the area of databases. They have been focusing on data collected in fields like art, design, hypermedia and digital media production, case-based reasoning and computational modeling of creativity, including evolutionary computation, and medical multimedia data. These exotic fields use variety of data sources and structures, interrelated by the nature of the phenomenon that these structures describe. As a result there is an increasing interest in new techniques and tools that can detect and discover patterns that can lead to a new knowledge in the problem domain where the data has been collected. There is also an increasing interest in the analysis of multimedia data generated by different distributed applications, like collaborative virtual environments, virtual communities, and multi-agent systems. These heterogeneous multimedia data records require sophisticated preprocessing, synchronization and other transformation procedures before even getting to the analysis stage.On the other hand, researchers in multimedia information systems, in the search for techniques for improving the indexing and retrieval of multimedia information are looking into new methods for discovering indexing information. Variety of techniques from machine learning, statistics, databases, knowledge acquisition, data visualization, image analysis, high performance computing, and knowledge-based systems, have been used mainly as a research handcraft activity. The development of multimedia databases and their query interfaces recall again the idea of incorporating multimedia data mining methods for dynamic indexing. The emerging international standard for multimedia content description (MPEG-7) promises to foster the collaboration in the field giving a uniform data representation.The 6th Workshop on Multimedia Data mining continues the series of successful workshops that have been held in conjunction with KDD Conferences in Boston (2000), San Francisco (2001), Edmonton (2002), Washington (2003) and Seattle (2004). These workshops brought together numerous experts in spatial data analysis, digital media, multimedia information retrieval, stateof- art data mining and knowledge discovery in multimedia database systems, and data analysis in collaborative virtual environments. For more information about the workshops see the reports in SIGKDD Exploration (2(2), 3 (2) and 4(2)).The topic of the 6th Workshop is Multimedia Mining. It means that the Workshop focuses on issues related to mining information from multi-modality, multisource, multi-format data in an integrated way. The selected represent a wide range of approaches, techniques, and tool that cover different aspects of image, audio and video indexing and annotation, and their integration into intelligent decision making systems. Furthermore, in order to encourage submissions of greenhouse work, which present early stages of cutting-edge research and development, this year a short papers session is added to the program of MDM 2005. This session will give to research teams the opportunity to present their research problems. In addition to the program of accepted papers, the workshop will enjoy an invited speaker: Professor Christos Faloutsos, Dept of Computer Science, Carnegie Mellon University, USA." @default.
- W2911546722 created "2019-02-21" @default.
- W2911546722 creator A5005002693 @default.
- W2911546722 creator A5045185842 @default.
- W2911546722 creator A5055774955 @default.
- W2911546722 date "2005-08-21" @default.
- W2911546722 modified "2023-09-26" @default.
- W2911546722 title "Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data" @default.
- W2911546722 hasPublicationYear "2005" @default.
- W2911546722 type Work @default.
- W2911546722 sameAs 2911546722 @default.
- W2911546722 citedByCount "0" @default.
- W2911546722 crossrefType "journal-article" @default.
- W2911546722 hasAuthorship W2911546722A5005002693 @default.
- W2911546722 hasAuthorship W2911546722A5045185842 @default.
- W2911546722 hasAuthorship W2911546722A5055774955 @default.
- W2911546722 hasConcept C136197465 @default.
- W2911546722 hasConcept C136764020 @default.
- W2911546722 hasConcept C154945302 @default.
- W2911546722 hasConcept C202444582 @default.
- W2911546722 hasConcept C23123220 @default.
- W2911546722 hasConcept C2522767166 @default.
- W2911546722 hasConcept C2780126544 @default.
- W2911546722 hasConcept C33923547 @default.
- W2911546722 hasConcept C41008148 @default.
- W2911546722 hasConcept C49774154 @default.
- W2911546722 hasConcept C75165309 @default.
- W2911546722 hasConcept C9652623 @default.
- W2911546722 hasConceptScore W2911546722C136197465 @default.
- W2911546722 hasConceptScore W2911546722C136764020 @default.
- W2911546722 hasConceptScore W2911546722C154945302 @default.
- W2911546722 hasConceptScore W2911546722C202444582 @default.
- W2911546722 hasConceptScore W2911546722C23123220 @default.
- W2911546722 hasConceptScore W2911546722C2522767166 @default.
- W2911546722 hasConceptScore W2911546722C2780126544 @default.
- W2911546722 hasConceptScore W2911546722C33923547 @default.
- W2911546722 hasConceptScore W2911546722C41008148 @default.
- W2911546722 hasConceptScore W2911546722C49774154 @default.
- W2911546722 hasConceptScore W2911546722C75165309 @default.
- W2911546722 hasConceptScore W2911546722C9652623 @default.
- W2911546722 hasLocation W29115467221 @default.
- W2911546722 hasOpenAccess W2911546722 @default.
- W2911546722 hasPrimaryLocation W29115467221 @default.
- W2911546722 hasRelatedWork W1566294290 @default.
- W2911546722 hasRelatedWork W1567056755 @default.
- W2911546722 hasRelatedWork W1969531462 @default.
- W2911546722 hasRelatedWork W1985215410 @default.
- W2911546722 hasRelatedWork W1997363734 @default.
- W2911546722 hasRelatedWork W2017922085 @default.
- W2911546722 hasRelatedWork W2066614398 @default.
- W2911546722 hasRelatedWork W2067575620 @default.
- W2911546722 hasRelatedWork W2122949122 @default.
- W2911546722 hasRelatedWork W2167105944 @default.
- W2911546722 hasRelatedWork W2525936299 @default.
- W2911546722 hasRelatedWork W2534553711 @default.
- W2911546722 hasRelatedWork W2611069435 @default.
- W2911546722 hasRelatedWork W2784123366 @default.
- W2911546722 hasRelatedWork W2912048376 @default.
- W2911546722 hasRelatedWork W2981367107 @default.
- W2911546722 hasRelatedWork W2989346070 @default.
- W2911546722 hasRelatedWork W3156624673 @default.
- W2911546722 hasRelatedWork W3194190409 @default.
- W2911546722 hasRelatedWork W2189518970 @default.
- W2911546722 isParatext "false" @default.
- W2911546722 isRetracted "false" @default.
- W2911546722 magId "2911546722" @default.
- W2911546722 workType "article" @default.