Data clustering using min-min roughness and its application to cluster patients suspected diabetics

In the context of information technology nowadays,there are many data exists.All of this data are scrambled over inside the computer and with the presence of internet,even more data exist.The problem with this is,when we want the needed data only,there are too many to look for and they are all scram...

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Main Author:	Mohd Ridzuan, Baharin
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/5027/ http://umpir.ump.edu.my/id/eprint/5027/ http://umpir.ump.edu.my/id/eprint/5027/1/CD6546.pdf

id	ump-5027
recordtype	eprints
spelling	ump-50272015-03-03T09:22:41Z http://umpir.ump.edu.my/id/eprint/5027/ Data clustering using min-min roughness and its application to cluster patients suspected diabetics Mohd Ridzuan, Baharin QA Mathematics In the context of information technology nowadays,there are many data exists.All of this data are scrambled over inside the computer and with the presence of internet,even more data exist.The problem with this is,when we want the needed data only,there are too many to look for and they are all scrambled over the internet databases.Therefore,there are techniques that are proposed that will provide a way to automatically mine the data and obtain only meaningful data from the huge data over the internet.The area discussed in this research is Knowledge Discovery in Databases (KDD) and the technique used is Minimum-Minimum Roughness (MMR).The dataset used will be the dataset of diabetic patients.By using this MMR technique, I intended to cluster the diabetic dataset n which each cluster will contain the data most related to each other. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5027/1/CD6546.pdf Mohd Ridzuan, Baharin (2012) Data clustering using min-min roughness and its application to cluster patients suspected diabetics. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/?theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mohd Ridzuan, Baharin Data clustering using min-min roughness and its application to cluster patients suspected diabetics
description	In the context of information technology nowadays,there are many data exists.All of this data are scrambled over inside the computer and with the presence of internet,even more data exist.The problem with this is,when we want the needed data only,there are too many to look for and they are all scrambled over the internet databases.Therefore,there are techniques that are proposed that will provide a way to automatically mine the data and obtain only meaningful data from the huge data over the internet.The area discussed in this research is Knowledge Discovery in Databases (KDD) and the technique used is Minimum-Minimum Roughness (MMR).The dataset used will be the dataset of diabetic patients.By using this MMR technique, I intended to cluster the diabetic dataset n which each cluster will contain the data most related to each other.
format	Undergraduates Project Papers
author	Mohd Ridzuan, Baharin
author_facet	Mohd Ridzuan, Baharin
author_sort	Mohd Ridzuan, Baharin
title	Data clustering using min-min roughness and its application to cluster patients suspected diabetics
title_short	Data clustering using min-min roughness and its application to cluster patients suspected diabetics
title_full	Data clustering using min-min roughness and its application to cluster patients suspected diabetics
title_fullStr	Data clustering using min-min roughness and its application to cluster patients suspected diabetics
title_full_unstemmed	Data clustering using min-min roughness and its application to cluster patients suspected diabetics
title_sort	data clustering using min-min roughness and its application to cluster patients suspected diabetics
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/5027/ http://umpir.ump.edu.my/id/eprint/5027/ http://umpir.ump.edu.my/id/eprint/5027/1/CD6546.pdf
first_indexed	2023-09-18T22:00:07Z
last_indexed	2023-09-18T22:00:07Z
_version_	1777414342000508928

Data clustering using min-min roughness and its application to cluster patients suspected diabetics

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