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Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model

There are lots of information given through the website or online media nowadays. These include data of research publication such as the data available on scholarly data e.g. Google Scholar. Determine the prominent research area and finding the key players is the motivation of this study. Despite ma...

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Main Author: Sarasjati, Wendy
Format: Thesis
Language:English
English
Published: 2017
Subjects:
Q Science (General)
QA76 Computer software
Online Access:http://eprints.utem.edu.my/id/eprint/20761/1/Determining%20Prominent%20Research%20Area%20And%20Expertise%20From%20Scholarly%20Data%20Using%20Spherical%20K-Means%20Algorithm%20And%20Scholar%20Ranking%20Model%20-%20Wendy%20Sarasjati%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/20761/2/Determining%20prominent%20research%20area%20and%20expertise%20from%20scholarly%20data%20using%20spherical%20K-Means%20algorithm%20and%20scholar%20ranking%20model.pdf
http://eprints.utem.edu.my/id/eprint/20761/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106005
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spelling my.utem.eprints.207612022-09-27T15:41:54Z http://eprints.utem.edu.my/id/eprint/20761/ Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model Sarasjati, Wendy Q Science (General) QA76 Computer software There are lots of information given through the website or online media nowadays. These include data of research publication such as the data available on scholarly data e.g. Google Scholar. Determine the prominent research area and finding the key players is the motivation of this study. Despite many people may know about the published articles of certain researchers, however there are no information on the research areas of an institute or university where the researchers belong to. Thus, this study will investigate how the prominent research area can be determined by using Spherical K-Means algorithm to cluster the topics. Likewise the proposed expert search approach could determine the key players who are the experts in certain research area. In order to identify the experts, this study identifies the prominent of research area using novel ranking measure i.e. scholar ranking model. This study applies top-down approach in order to solve the problem. This top-down approach initially represents UTeM research areas then followed by the prominent research study. Thus, based on this prominent research study then it comes up with the experts which have related to each field. This study achieves the first objective using spherical K-Means that is determine the prominent topics in UTeM such as Advanced Computing Technology, Telecommunication Research and Communication, Advanced Manufacturing Technology, and Robotic Industrial Automation. Besides, this study also completes the second objective which is identifying the experts based on the prominent research study. The outcome to achieve the second objective is ranking each candidate expert based on the citation by using scholar ranking model. 2017 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/20761/1/Determining%20Prominent%20Research%20Area%20And%20Expertise%20From%20Scholarly%20Data%20Using%20Spherical%20K-Means%20Algorithm%20And%20Scholar%20Ranking%20Model%20-%20Wendy%20Sarasjati%20-%2024%20Pages.pdf text en http://eprints.utem.edu.my/id/eprint/20761/2/Determining%20prominent%20research%20area%20and%20expertise%20from%20scholarly%20data%20using%20spherical%20K-Means%20algorithm%20and%20scholar%20ranking%20model.pdf Sarasjati, Wendy (2017) Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106005
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
English
topic Q Science (General)
QA76 Computer software
spellingShingle Q Science (General)
QA76 Computer software
Sarasjati, Wendy
Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
description There are lots of information given through the website or online media nowadays. These include data of research publication such as the data available on scholarly data e.g. Google Scholar. Determine the prominent research area and finding the key players is the motivation of this study. Despite many people may know about the published articles of certain researchers, however there are no information on the research areas of an institute or university where the researchers belong to. Thus, this study will investigate how the prominent research area can be determined by using Spherical K-Means algorithm to cluster the topics. Likewise the proposed expert search approach could determine the key players who are the experts in certain research area. In order to identify the experts, this study identifies the prominent of research area using novel ranking measure i.e. scholar ranking model. This study applies top-down approach in order to solve the problem. This top-down approach initially represents UTeM research areas then followed by the prominent research study. Thus, based on this prominent research study then it comes up with the experts which have related to each field. This study achieves the first objective using spherical K-Means that is determine the prominent topics in UTeM such as Advanced Computing Technology, Telecommunication Research and Communication, Advanced Manufacturing Technology, and Robotic Industrial Automation. Besides, this study also completes the second objective which is identifying the experts based on the prominent research study. The outcome to achieve the second objective is ranking each candidate expert based on the citation by using scholar ranking model.
format Thesis
author Sarasjati, Wendy
author_facet Sarasjati, Wendy
author_sort Sarasjati, Wendy
title Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
title_short Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
title_full Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
title_fullStr Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
title_full_unstemmed Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model
title_sort determining prominent research area and expertise from scholarly data using spherical k-means algorithm and scholar ranking model
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20761/1/Determining%20Prominent%20Research%20Area%20And%20Expertise%20From%20Scholarly%20Data%20Using%20Spherical%20K-Means%20Algorithm%20And%20Scholar%20Ranking%20Model%20-%20Wendy%20Sarasjati%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/20761/2/Determining%20prominent%20research%20area%20and%20expertise%20from%20scholarly%20data%20using%20spherical%20K-Means%20algorithm%20and%20scholar%20ranking%20model.pdf
http://eprints.utem.edu.my/id/eprint/20761/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106005
_version_ 1745565685014069248
score 13.211869

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