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
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spelling	my-utem-ep.207612022-09-27T15:41:54Z Determining prominent research area and expertise from scholarly data using spherical K-Means algorithm and scholar ranking model 2017 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 http://eprints.utem.edu.my/id/eprint/20761/ 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 public 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 text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106005 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
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
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
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
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
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
_version_	1747834001026973696

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

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