• DocumentCode
    550023
  • Title

    Biologically inspired informatics; algorithm for logical data processing

  • Author

    Piros, Sandor J. ; Korondi, Peter

  • Author_Institution
    Dept. of Mechatron., Opt. & Eng. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2011
  • fDate
    7-9 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Authors have developed an algorithm to transform and compress dataset for storage and transmission purposes. This paper explains how it works with logical data set. This algorithm could provide an economical way for handling a correlated or highly correlated logical data set. The mean of this algorithm is a special tree structure to transform a multidimensional dataset into a binary tree structure, following a natural algorithm. This transformation is based on the same algorythm how a multicellular organism develops from a single cell by consecutive cell divisions and differentiations.
  • Keywords
    data compression; image coding; tree data structures; binary tree structure; biologically inspired informatics; highly correlated logical data set; logical data processing; multicellular organism; multidimensional dataset; natural algorithm; tree data structure; Binary trees; Bioinformatics; Encoding; Genomics; Image coding; Indexing; Biological cells; Data compression; Data processing; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4577-1806-9
  • Electronic_ISBN
    978-963-8111-78-4
  • Type

    conf

  • Filename
    5999493