• DocumentCode
    301320
  • Title

    Classifying data patterns of a time series

  • Author

    Georgiou, George K. ; Sy, Bon K.

  • Author_Institution
    Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    310
  • Abstract
    Deals with the problem of partitioning time series data into equivalence classes such that each class contains data blocks of similar patterns. The authors discuss the issue of similarity and the metrics involved in the derivation of equivalence classes. Four algorithms are discussed along with the results of their performance on stock data
  • Keywords
    equivalence classes; pattern classification; time series; data patterns classification; equivalence classes; metrics; partitioning; similarity; stock data; time series; Cities and towns; Computational efficiency; Computer science; Educational institutions; Measurement standards; Partitioning algorithms; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.537777
  • Filename
    537777
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=301320