• DocumentCode
    1842018
  • Title

    A Multi-dimensional Range Query Scheme for International Business Management

  • Author

    Yanglan Zhang

  • Author_Institution
    Int. Bus. Dept., China Constr. Bank, Wuhan, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    The data in international business management exhibit salient features of massiveness and heterogeneity. Users often have the requests for range query, which further introduces the complexity and increase the costs of system execution. In order to address this problem, we propose an R-tree based scheme, which can efficiently meet the needs of carrying out range query. The basic idea is to build a multidimensional index that maintains the metadata of stored business data. Extensive experimental results demonstrate that the proposed structure and scheme can satisfy the requirements of range query in an efficient manner.
  • Keywords
    business data processing; query processing; tree data structures; R-tree based scheme; international business management; metadata; multidimensional index; multidimensional range query scheme; stored business data; Accuracy; Algorithm design and analysis; Business; Data structures; Indexes; Peer-to-peer computing; international business management; range query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.113
  • Filename
    6643028