• DocumentCode
    693618
  • Title

    Sequential Sequence Mining Technique in Large Database

  • Author

    Amin, Kiran R. ; Shah, J.S.

  • Author_Institution
    Dept. of Comput. Eng., U.V. Patel Coll. of Eng., Ganpat Vidyanagar, India
  • fYear
    2013
  • fDate
    21-23 Dec. 2013
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    To find sequential sequence from the database, several sequential sequence mining techniques are developed. We have proposed the series of MySSM algorithms. These algorithms generate a sequential sequence from given database by considering time interval. Our new proposed a sequential sequence mining technique produces sequential sequences from the large database. It considers the time gap between successive items to be purchased by the customers. It produces the sequential sequences with reasonable amount of Time and Memory.
  • Keywords
    data mining; very large databases; MySSM algorithms; large database; sequential sequence mining technique; Algorithm design and analysis; Data mining; Generators; Heuristic algorithms; Indexes; Memory management; Extended Sequential Sequence; Sequence Generator table; Support; data-sequence; large database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
  • Conference_Location
    Katra
  • Type

    conf

  • DOI
    10.1109/ICMIRA.2013.61
  • Filename
    6918838