An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data

An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data

Data mining techniques are used in various industries, including database marketing, web analysis, information retrieval and bioinformatics to gain a better knowledge extraction. However, if data mining techniques are applied on real datasets, a problem that often comes up is that missing values occ...

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Main Author: Samat, Nurul Ashikin
Format: Thesis
Language:English
English
English
Published: 2017
Subjects:
QA Mathematics
QA71-90 Instruments and machines
Online Access:http://eprints.uthm.edu.my/7817/2/24p%20NURUL%20ASHIKIN%20SAMAT.pdf
http://eprints.uthm.edu.my/7817/1/NURUL%20ASHIKIN%20SAMAT%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/7817/3/NURUL%20ASHIKIN%20SAMAT%20WATERMARK.pdf
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spelling my-uthm-ep.78172022-10-12T02:21:28Z An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data 2017-08 Samat, Nurul Ashikin QA Mathematics QA71-90 Instruments and machines Data mining techniques are used in various industries, including database marketing, web analysis, information retrieval and bioinformatics to gain a better knowledge extraction. However, if data mining techniques are applied on real datasets, a problem that often comes up is that missing values occur in the datasets. Since the missing values may confuse the data mining process and causing the knowledge extracted unreliable, there is a need to handle the missing values. Therefore, researchers ar.e coming out with imputation methods in the preproce_ssing 2017-08 Thesis http://eprints.uthm.edu.my/7817/ http://eprints.uthm.edu.my/7817/2/24p%20NURUL%20ASHIKIN%20SAMAT.pdf text en public http://eprints.uthm.edu.my/7817/1/NURUL%20ASHIKIN%20SAMAT%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/7817/3/NURUL%20ASHIKIN%20SAMAT%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic QA Mathematics
QA71-90 Instruments and machines
spellingShingle QA Mathematics
QA71-90 Instruments and machines
Samat, Nurul Ashikin
An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
description Data mining techniques are used in various industries, including database marketing, web analysis, information retrieval and bioinformatics to gain a better knowledge extraction. However, if data mining techniques are applied on real datasets, a problem that often comes up is that missing values occur in the datasets. Since the missing values may confuse the data mining process and causing the knowledge extracted unreliable, there is a need to handle the missing values. Therefore, researchers ar.e coming out with imputation methods in the preproce_ssing
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Samat, Nurul Ashikin
author_facet Samat, Nurul Ashikin
author_sort Samat, Nurul Ashikin
title An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
title_short An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
title_full An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
title_fullStr An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
title_full_unstemmed An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
title_sort improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Sains Komputer dan Teknologi Maklumat
publishDate 2017
url http://eprints.uthm.edu.my/7817/2/24p%20NURUL%20ASHIKIN%20SAMAT.pdf
http://eprints.uthm.edu.my/7817/1/NURUL%20ASHIKIN%20SAMAT%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/7817/3/NURUL%20ASHIKIN%20SAMAT%20WATERMARK.pdf
_version_ 1747831196375580672

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