Discovery of SIP/DRIP approach in distributed inter process communication

Classification modeling in data mining has evolved since 1990's. Many methods have been introduced and experimented. Among them were Multi Layer Perceptron and Radial Basis Function in Neural Network and Multiple Regressions in Statistical Analysis. Not many researches have been proposed in the...

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Main Authors: Hamid H., Jais J.
Other Authors: 58000604000
Format: Conference paper
Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-297052023-12-28T15:41:43Z Discovery of SIP/DRIP approach in distributed inter process communication Hamid H. Jais J. 58000604000 57212154525 Classification DIPC Distributed computing MOSIX Rough set Computer science Fuzzy sets Mining Radial basis function networks Rough set theory Classification DIPC Distributed computing MOSIX Rough set Data mining Classification modeling in data mining has evolved since 1990's. Many methods have been introduced and experimented. Among them were Multi Layer Perceptron and Radial Basis Function in Neural Network and Multiple Regressions in Statistical Analysis. Not many researches have been proposed in the field of rough classification modeling. When SIP/DRIP algorithm was ported on rough classification model, its accuracy has shown competitive results [1]. The performance of the proposed rough model is compared with neural classifiers on different datasets. This paper made experiments on the combination of SIP/DRIP algorithm with DIPC distributed system to increase the computation speed of the method. Comparison made with another distributed computing system will be presented. �2008 IEEE. Final 2023-12-28T07:41:43Z 2023-12-28T07:41:43Z 2008 Conference paper 10.1109/ISTEL.2008.4651349 2-s2.0-67650492147 https://www.scopus.com/inward/record.uri?eid=2-s2.0-67650492147&doi=10.1109%2fISTEL.2008.4651349&partnerID=40&md5=d577a710dbcc3b48bad151354e57eeed https://irepository.uniten.edu.my/handle/123456789/29705 4651349 476 482 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Classification
DIPC
Distributed computing
MOSIX
Rough set
Computer science
Fuzzy sets
Mining
Radial basis function networks
Rough set theory
Classification
DIPC
Distributed computing
MOSIX
Rough set
Data mining
spellingShingle Classification
DIPC
Distributed computing
MOSIX
Rough set
Computer science
Fuzzy sets
Mining
Radial basis function networks
Rough set theory
Classification
DIPC
Distributed computing
MOSIX
Rough set
Data mining
Hamid H.
Jais J.
Discovery of SIP/DRIP approach in distributed inter process communication
description Classification modeling in data mining has evolved since 1990's. Many methods have been introduced and experimented. Among them were Multi Layer Perceptron and Radial Basis Function in Neural Network and Multiple Regressions in Statistical Analysis. Not many researches have been proposed in the field of rough classification modeling. When SIP/DRIP algorithm was ported on rough classification model, its accuracy has shown competitive results [1]. The performance of the proposed rough model is compared with neural classifiers on different datasets. This paper made experiments on the combination of SIP/DRIP algorithm with DIPC distributed system to increase the computation speed of the method. Comparison made with another distributed computing system will be presented. �2008 IEEE.
author2 58000604000
author_facet 58000604000
Hamid H.
Jais J.
format Conference paper
author Hamid H.
Jais J.
author_sort Hamid H.
title Discovery of SIP/DRIP approach in distributed inter process communication
title_short Discovery of SIP/DRIP approach in distributed inter process communication
title_full Discovery of SIP/DRIP approach in distributed inter process communication
title_fullStr Discovery of SIP/DRIP approach in distributed inter process communication
title_full_unstemmed Discovery of SIP/DRIP approach in distributed inter process communication
title_sort discovery of sip/drip approach in distributed inter process communication
publishDate 2023
_version_ 1806425960894955520