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Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)

Data Analytics is a superset to Data Mining. Data mining algorithm is getting popular support in recent development of Big Data. Among popular methods in Data Mining is Rough Classification Modeling (RCM), Neural Network and Statistical Analysis. RCM is capable of giving more accurate reducts calcul...

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Main Authors: Abdul Hamid, Mohd Hakim, Abu, Nur Azman, Mohamad, Siti Nurul Mahfuzah, Idris, Aris, Zakaria, Zahriladha, Sulaiman, Zuraidah
Format: Article
Language:English
Published: Institute of Advanced Scientific Research, Inc. 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24160/2/%5B26%5D%20FTMK.PDF
http://eprints.utem.edu.my/id/eprint/24160/
https://www.jardcs.org/archivesview.php?volume=1&issue=16&page=2
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spelling my.utem.eprints.241602020-08-04T15:37:31Z http://eprints.utem.edu.my/id/eprint/24160/ Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC) Abdul Hamid, Mohd Hakim Abu, Nur Azman Mohamad, Siti Nurul Mahfuzah Idris, Aris Zakaria, Zahriladha Sulaiman, Zuraidah Data Analytics is a superset to Data Mining. Data mining algorithm is getting popular support in recent development of Big Data. Among popular methods in Data Mining is Rough Classification Modeling (RCM), Neural Network and Statistical Analysis. RCM is capable of giving more accurate reducts calculation on huge dataset. However, RCM consume a lot of computation times to operate on even a small dataset. Satisfiable Integer Programming (SIP) has been used to quantify dataset in Rough Classification Modeling (RCM). Previously SIP has been ported on a single node. In order to expedite the computing times, SIP has been ported on distributed computing environment. The result on RCM using SIP in this paper perform faster than the current Neural Network utilizing Multilayer Perceptron (MLP) and Statistical Analysis using Multiple Regression (MR) on a different distributed computing platforms. Computation time has been recorded and compared. Result and analysis of the comparisons made between the three algorithms will be presented Institute of Advanced Scientific Research, Inc. 2019 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24160/2/%5B26%5D%20FTMK.PDF Abdul Hamid, Mohd Hakim and Abu, Nur Azman and Mohamad, Siti Nurul Mahfuzah and Idris, Aris and Zakaria, Zahriladha and Sulaiman, Zuraidah (2019) Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC). Journal Of Advanced Research In Dynamical And Control Systems, 11 (8). pp. 315-322. ISSN 1943-023X https://www.jardcs.org/archivesview.php?volume=1&issue=16&page=2
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Data Analytics is a superset to Data Mining. Data mining algorithm is getting popular support in recent development of Big Data. Among popular methods in Data Mining is Rough Classification Modeling (RCM), Neural Network and Statistical Analysis. RCM is capable of giving more accurate reducts calculation on huge dataset. However, RCM consume a lot of computation times to operate on even a small dataset. Satisfiable Integer Programming (SIP) has been used to quantify dataset in Rough Classification Modeling (RCM). Previously SIP has been ported on a single node. In order to expedite the computing times, SIP has been ported on distributed computing environment. The result on RCM using SIP in this paper perform faster than the current Neural Network utilizing Multilayer Perceptron (MLP) and Statistical Analysis using Multiple Regression (MR) on a different distributed computing platforms. Computation time has been recorded and compared. Result and analysis of the comparisons made between the three algorithms will be presented
format Article
author Abdul Hamid, Mohd Hakim
Abu, Nur Azman
Mohamad, Siti Nurul Mahfuzah
Idris, Aris
Zakaria, Zahriladha
Sulaiman, Zuraidah
spellingShingle Abdul Hamid, Mohd Hakim
Abu, Nur Azman
Mohamad, Siti Nurul Mahfuzah
Idris, Aris
Zakaria, Zahriladha
Sulaiman, Zuraidah
Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
author_facet Abdul Hamid, Mohd Hakim
Abu, Nur Azman
Mohamad, Siti Nurul Mahfuzah
Idris, Aris
Zakaria, Zahriladha
Sulaiman, Zuraidah
author_sort Abdul Hamid, Mohd Hakim
title Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
title_short Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
title_full Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
title_fullStr Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
title_full_unstemmed Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
title_sort satisfiable integer programming algorithm on distributed inter process communication (sip-dipc)
publisher Institute of Advanced Scientific Research, Inc.
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24160/2/%5B26%5D%20FTMK.PDF
http://eprints.utem.edu.my/id/eprint/24160/
https://www.jardcs.org/archivesview.php?volume=1&issue=16&page=2
_version_ 1675330908095250432
score 13.211869

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