• DocumentCode
    240714
  • Title

    Modelling on classification and retrieval strategy in map-reduce based IR system

  • Author

    Shen Gao ; Kai Gao

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    322
  • Lastpage
    325
  • Abstract
    Classification is essential to many web applications. Instead of the traditional segmentation as usual, this paper presents a novel non-segment classification approach, which can meet the requirement for big data classification & application. The novel algorithm removes the complicated time consuming segmentation. The experimental results and the analysis show the feasible of the approach. Based on the proposed approach, a map-reduce based distributed IR system is present.
  • Keywords
    Big Data; information retrieval; pattern classification; big data classification; information retrieval strategy; map reduce based distributed IR system; non-segment classification approach; Analytical models; Classification algorithms; Computational modeling; Containers; Indexing; Servers; Vectors; classification; information retrieval; map-reduce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2014 Proceedings of the 6th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICMIC.2014.7020773
  • Filename
    7020773