Kjetil Nørvåg | Akateeminen Kirjakauppa

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PEER-TO-PEER QUERY PROCESSING OVER MULTIDIMENSIONAL DATA

Akrivi Vlachou; Christos Doulkeridis; Kjetil Nørvåg; Yannis Kotidis
Springer-Verlag New York Inc. (2012)
Pehmeäkantinen kirja

51,40 €

TEMPORAL INFORMATION RETRIEVAL

Nattiya Kanhabua; Roi Blanco; Kjetil Nørvåg
now publishers Inc (2015)
Pehmeäkantinen kirja

95,40 €

ADVANCES IN DATABASES AND INFORMATION SYSTEMS : 21ST EUROPEAN CONFERENCE, ADBIS 2017, NICOSIA, CYPRUS, SEPTEMBER 24-27, 2017, PR

Mārīte Kirikova (ed.); Kjetil Nørvåg (ed.); George A. Papadopoulos (ed.)
Springer (2017)
Pehmeäkantinen kirja

51,40 €

NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS : ADBIS 2017 SHORT PAPERS AND WORKSHOPS, AMSD, BIGNOVELTI, DAS, SW4CH, DC, NICOS

Mārīte Kirikova (ed.); Kjetil Nørvåg (ed.); George A. Papadopoulos (ed.); Johann Gamper (ed.); Robert Wrembel (ed.); Darmon
Springer (2017)
Pehmeäkantinen kirja

51,40 €

NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS : ADBIS 2022 SHORT PAPERS, DOCTORAL CONSORTIUM AND WORKSHOPS: DOING, K-GALS, MADE

Silvia Chiusano (ed.); Tania Cerquitelli (ed.); Robert Wrembel (ed.); Kjetil Nørvåg (ed.); Barbara Catania (ed.); Vargas-So
Springer (2022)
Pehmeäkantinen kirja

111,40 €

Peer-to-Peer Query Processing over Multidimensional Data

Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis

51,40 €

Springer-Verlag New York Inc.
Sivumäärä: 84 sivua
Asu: Pehmeäkantinen kirja
Painos: 2012
Julkaisuvuosi: 2012, 13.04.2012 (lisätietoa)
Kieli: Englanti
Tuotesarja: SpringerBriefs in Computer Science

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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