Nearest neighbor search in metric spaces through content-addressable networks (Articolo in rivista)

Type
Label
  • Nearest neighbor search in metric spaces through content-addressable networks (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.ipm.2006.04.002 (literal)
Alternative label
  • Falchi F.; Gennaro C.; Zezula P. (2007)
    Nearest neighbor search in metric spaces through content-addressable networks
    in Information processing & management
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Falchi F.; Gennaro C.; Zezula P. (literal)
Pagina inizio
  • 665 (literal)
Pagina fine
  • 683 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0306457306000628 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 43 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Information Processing and Management, vol. 44 (1) pp. 411 - 429. Elsevier, 2008. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa (Falchi, Gennaro) Faculty of Informatics, Masaryk University, Brno, Czech Republic (Zezula) (literal)
Titolo
  • Nearest neighbor search in metric spaces through content-addressable networks (literal)
Abstract
  • Most of the peer-to-peer search techniques proposed in the recent years have focused on the single-key retrieval. However, similarity search in metric spaces represents an important paradigm for content-based retrieval in many applications. In this paper we introduce an extension of the well-known Content-Addressable Network paradigm to support storage and retrieval of more generic metric space objects. In particular we address the problem of executing the nearest neighbors queries, and propose three different algorithms of query propagation. An extensive experimental study on real-life data sets explores the performance characteristics of the proposed algorithms by showing their advantages and disadvantages. (literal)
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