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Horizontal Partitioning of Multimedia Databases Using Hierarchical Agglomerative Clustering

  • Lisbeth Rodríguez-Mazahua
  • Giner Alor-Hernández
  • Ma. Antonieta Abud-Figueroa
  • S. Gustavo Peláez-Camarena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8857)

Abstract

Horizontal partitioning is a database design technique widely used in relational databases in order to achieve query optimization. Recently, this technique has been applied in multimedia databases to improve query execution cost in these databases. Nevertheless, current algorithms are based on affinity between predicates to obtain an horizontal partitioning scheme (HPS). Affinity measures how a pair of predicates is accessed by the queries (“togetherness”). The main disadvantage of this measure is that it only involves two predicates, and hence does not show the “togetherness” of more than two predicates. In this paper we propose an horizontal partitioning method for multimedia databases which is based on a hierarchical agglomerative clustering algorithm. The main advantage of our method is that it does not use affinity to create the HPS. We present experimental results to clarify the soundness of the proposed method.

Keywords

Horizontal partitioning Multimedia databases Hierarchical clustering 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lisbeth Rodríguez-Mazahua
    • 1
  • Giner Alor-Hernández
    • 1
  • Ma. Antonieta Abud-Figueroa
    • 1
  • S. Gustavo Peláez-Camarena
    • 1
  1. 1.Division of Research and Postgraduate Studies, Instituto Tecnológico de OrizabaVeracruzMéxico

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