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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Universiti Malaysia Pahang
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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 (Unpublished) |
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Universiti Malaysia Pahang |
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QA76 Computer software |
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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 |
_version_ |
1777416670011195392 |