• DocumentCode
    2085208
  • Title

    Positional_LCS: A position based algorithm to find Longest Common Subsequence (LCS) in Sequence Database (SDB)

  • Author

    Rubi, R. Devika ; Arockiam, L.

  • Author_Institution
    R&D Centre, Bharathiar Univ., Coimbatore, India
  • fYear
    2012
  • fDate
    18-20 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Finding Longest Common Subsequence (LCS) involves comparison of two or more sequences and find the Longest Subsequence which is common to all sequences. This NP hard problem is useful in various Sequence Database (SDB) applications such as finding Motif, gene/protein sequence comparisons in Biological SDB, finding the highly demanded item list from the Inventory SDB, finding the most traded Shares list in Stock Trading SDB. The existing algorithms have drawbacks of high computational time as they focused on both matched and unmatched positions of sequences to get LCS. This is overcome by proposed Positional_LCS by focusing only on matched positions. Thus the Positional_LCS reduces the time complexity than the existing algorithms.
  • Keywords
    computational complexity; database management systems; NP hard problem; biological SDB; inventory SDB; longest common subsequence; position based algorithm; positional_LCS; sequence database; stock trading SDB; time complexity; Dynamic Programming; Gene/Protein Sequence; LCS Positional points; Longest Common Subsequence; Motif; SDB applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4673-1342-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2012.6510271
  • Filename
    6510271