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Peer-to-Peer Query Processing over Multidimensional Data

Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vlachou, Akrivi (Autor), Doulkeridis, Christos (Autor), Nørvåg, Kjetil (Autor), Kotidis, Yannis (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Computer Science,
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Vlachou, Akrivi.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Peer-to-Peer Query Processing over Multidimensional Data  |h [electronic resource] /  |c by Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis. 
250 |a 1st ed. 2012. 
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300 |a XII, 84 p. 18 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a SpringerBriefs in Computer Science,  |x 2191-5776 
505 0 |a Introduction -- Peer-to-Peer Systems -- System Overview -- Query Operators -- Similarity Search in Metric Spaces -- Subspace Skyline Queries -- Top-k queries -- Summary -- References. 
520 |a Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators. 
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700 1 |a Nørvåg, Kjetil.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Kotidis, Yannis.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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