Towards optimal search: a modified secant method for efficient search in a big database

Search techniques are integral part for text authentication and plagiarism checks. In this work, our aim is to develop an efficient search algorithm for Arabic texts in a big database. The database contains the authentic source of information where information is ordered; thus the efficient algorith...

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Main Authors: M. Nomani, Kabir, Ali, Jahan, Alginahi, Yasser M., Benseghir, Hocine
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24503/
http://umpir.ump.edu.my/id/eprint/24503/2/39.1%20Towards%20optimal%20search%20a%20modified%20secant%20method.pdf
id ump-24503
recordtype eprints
spelling ump-245032020-03-02T02:57:56Z http://umpir.ump.edu.my/id/eprint/24503/ Towards optimal search: a modified secant method for efficient search in a big database M. Nomani, Kabir Ali, Jahan Alginahi, Yasser M. Benseghir, Hocine QA76 Computer software Search techniques are integral part for text authentication and plagiarism checks. In this work, our aim is to develop an efficient search algorithm for Arabic texts in a big database. The database contains the authentic source of information where information is ordered; thus the efficient algorithm can be used for searching the texts. Our search algorithm uses a quasi-Newton method -Secant method instead of traditional binary search. The secant method has much faster convergence property than the binary search and hence the algorithm can find the specific texts in a shorter time period. Universiti Malaysia Pahang 2018-11 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24503/2/39.1%20Towards%20optimal%20search%20a%20modified%20secant%20method.pdf M. Nomani, Kabir and Ali, Jahan and Alginahi, Yasser M. and Benseghir, Hocine (2018) Towards optimal search: a modified secant method for efficient search in a big database. In: IEEE 2nd Borneo International Conference On Applied Mathematics And Engineering (BICAME) 2018, 10 -11 November 2018 , Balikpapan, Indonesia. pp. 1-4.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
M. Nomani, Kabir
Ali, Jahan
Alginahi, Yasser M.
Benseghir, Hocine
Towards optimal search: a modified secant method for efficient search in a big database
description Search techniques are integral part for text authentication and plagiarism checks. In this work, our aim is to develop an efficient search algorithm for Arabic texts in a big database. The database contains the authentic source of information where information is ordered; thus the efficient algorithm can be used for searching the texts. Our search algorithm uses a quasi-Newton method -Secant method instead of traditional binary search. The secant method has much faster convergence property than the binary search and hence the algorithm can find the specific texts in a shorter time period.
format Conference or Workshop Item
author M. Nomani, Kabir
Ali, Jahan
Alginahi, Yasser M.
Benseghir, Hocine
author_facet M. Nomani, Kabir
Ali, Jahan
Alginahi, Yasser M.
Benseghir, Hocine
author_sort M. Nomani, Kabir
title Towards optimal search: a modified secant method for efficient search in a big database
title_short Towards optimal search: a modified secant method for efficient search in a big database
title_full Towards optimal search: a modified secant method for efficient search in a big database
title_fullStr Towards optimal search: a modified secant method for efficient search in a big database
title_full_unstemmed Towards optimal search: a modified secant method for efficient search in a big database
title_sort towards optimal search: a modified secant method for efficient search in a big database
publisher Universiti Malaysia Pahang
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/24503/
http://umpir.ump.edu.my/id/eprint/24503/2/39.1%20Towards%20optimal%20search%20a%20modified%20secant%20method.pdf
first_indexed 2023-09-18T22:37:07Z
last_indexed 2023-09-18T22:37:07Z
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