New Hash Function Construction for Textual and Geometrical Data Retrieval
Date issued
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
WSEAS
Abstract
Techniques based on hashing are heavily used in
many applications, e.g. information retrieval, geometry processing,
chemical and medical applications etc. and even in cryptography.
Traditionally the hash functions are considered in a form of
h(v) = f(v) mod m, where m is considered as a prime number and f(v)
is a function over the element v, which is generally of „unlimited“
dimensionality and/or of „unlimited“ range of values.
In this paper a new approach for a hash function construction is
presented which offers unique properties for textual and geometric
data. Textual data have a limited range of values (the alphabet size)
and „unlimited“ dimensionality (the string length), while geometric
data have „unlimited“ range of values (usually (-∞, ∞) ), but limited
dimensionality (usually 2 or 3).
Construction of the hash function differs for textual and geometric
data and the proposed hash construction has been verified on
non-trivial data sets.
Description
Subject(s)
hešovací funkce, textová data, geometrická data, indexování, vyhledávání dat
Citation
Latest Trends on Applied Mathematics, Simulation, Modelling: 4th International Conference on Applied Mathematics, Simulation, Modelling (ASM'10), p. 214-219.