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International Journal of Business Intelligence and Data Mining - Special Issue on Beyond multimedia and XML streams querying and mining

Abstract : Over the last decade, information has become available and reachable anywhere and everywhere. As a result, we have seen an explosion of multimedia and XML streams captured from multitudes of sources monitoring just about every aspect of life. This has lead to the emergence of a new generation of ambient and context-aware applications. Mining and querying the resulting large datasets is possibly the only way to discover information and extract new knowledge in them. One of the challenges is bridging several disciplines, such as database systems, XML and information retrieval, artificial intelligence, and multimedia processing. Thus, it has become important to understand multimedia and XML streams mining and querying techniques, how such techniques can contribute to new knowledge discovery, and how to organize and manage the discovered knowledge. The goal of this special issue is to assess the current state-of-the-art in, and chart the major challenges and future directions, of mining and querying multimedia and XML streams. It aims to provide a broad overview of the field, by including a wide range of contributions from a diverse group of researchers.
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https://hal.archives-ouvertes.fr/hal-01010143
Contributor : Marie-Christine Fauvet <>
Submitted on : Thursday, June 19, 2014 - 12:05:53 PM
Last modification on : Friday, July 17, 2020 - 2:54:04 PM

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  • HAL Id : hal-01010143, version 1

Citation

Richard Schbeir, Agma Traina, Catherine Berrut. International Journal of Business Intelligence and Data Mining - Special Issue on Beyond multimedia and XML streams querying and mining. Inderscience Enterprises Ltd, pp.323-442, 2010. ⟨hal-01010143⟩

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