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
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;
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