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

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

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Abstract

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

Item Type:	Article
Uncontrolled Keywords:	Big Data, Rough Classification Modeling (RCM); Satisfiable Integer Programming (SIP), Distributed Inter Process Communications (DIPC), Distributed Computing
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	04 Aug 2020 15:37
Last Modified:	04 Aug 2020 15:37
URI:	http://eprints.utem.edu.my/id/eprint/24160
Statistic Details:	View Download Statistic

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