A hashing technique using separate binary tree
It is always a major demand to provide efficient retrieving and storing of data and information in a large database system. For this purpose, many file organization techniques have already been developed, and much additional research is still going on. Hashing is one developed technique. In this pap...
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doaj-a46be32fed514a018509e0a6e46ede312020-11-24T23:48:01ZengUbiquity PressData Science Journal1683-14702006-11-01514316110.2481/dsj.5.143479A hashing technique using separate binary treeMd Mehedi Masud0Gopal Chandra Das1Md Anisur Rahman2Arunashis Ghose3School of Information Technology and Engineering, University of Ottawa, CanadaComputer Science and Automation, Indian Institute of Science (IISc), Bangalore, IndiaComputer Science and Engineering, Khulna University, Khulna, BangladeshDepartment of Telecommunication and Signal Processing, Blekinge Institute of Technology, Karlskrona, SwedenIt is always a major demand to provide efficient retrieving and storing of data and information in a large database system. For this purpose, many file organization techniques have already been developed, and much additional research is still going on. Hashing is one developed technique. In this paper we propose an enhanced hashing technique that uses a hash table combined with a binary tree, searching on the binary representation of a portion the primary key of records that is associated with each index of the hash table. The paper contains numerous examples to describe the technique. The technique shows significant improvements in searching, insertion, and deletion for systems with huge amounts of data. The paper also presents the mathematical analysis of the proposed technique and comparative results.http://datascience.codata.org/articles/477DatabaseHashingInformation retrieval |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Md Mehedi Masud Gopal Chandra Das Md Anisur Rahman Arunashis Ghose |
spellingShingle |
Md Mehedi Masud Gopal Chandra Das Md Anisur Rahman Arunashis Ghose A hashing technique using separate binary tree Data Science Journal Database Hashing Information retrieval |
author_facet |
Md Mehedi Masud Gopal Chandra Das Md Anisur Rahman Arunashis Ghose |
author_sort |
Md Mehedi Masud |
title |
A hashing technique using separate binary tree |
title_short |
A hashing technique using separate binary tree |
title_full |
A hashing technique using separate binary tree |
title_fullStr |
A hashing technique using separate binary tree |
title_full_unstemmed |
A hashing technique using separate binary tree |
title_sort |
hashing technique using separate binary tree |
publisher |
Ubiquity Press |
series |
Data Science Journal |
issn |
1683-1470 |
publishDate |
2006-11-01 |
description |
It is always a major demand to provide efficient retrieving and storing of data and information in a large database system. For this purpose, many file organization techniques have already been developed, and much additional research is still going on. Hashing is one developed technique. In this paper we propose an enhanced hashing technique that uses a hash table combined with a binary tree, searching on the binary representation of a portion the primary key of records that is associated with each index of the hash table. The paper contains numerous examples to describe the technique. The technique shows significant improvements in searching, insertion, and deletion for systems with huge amounts of data. The paper also presents the mathematical analysis of the proposed technique and comparative results. |
topic |
Database Hashing Information retrieval |
url |
http://datascience.codata.org/articles/477 |
work_keys_str_mv |
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