Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour

Internet began growing up with immense speed in these recent years. Business field had discovered many customers and income in the internet. There are huge information and items, and it became overload. Recommendation systems is developed to overcome this problem. Nowadays, freshly school leavers es...

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Main Author:	Thoi, Wen Bin
Format:	Undergraduates Project Papers
Language:	English
Published:	2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26825/ http://umpir.ump.edu.my/id/eprint/26825/ http://umpir.ump.edu.my/id/eprint/26825/1/Recommendation%20system%20in%20selecting%20course%20of%20public%20university%20in%20Malaysia%20using%20k-Nearest.pdf

id	ump-26825
recordtype	eprints
spelling	ump-268252019-12-11T08:10:31Z http://umpir.ump.edu.my/id/eprint/26825/ Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour Thoi, Wen Bin QA76 Computer software Internet began growing up with immense speed in these recent years. Business field had discovered many customers and income in the internet. There are huge information and items, and it became overload. Recommendation systems is developed to overcome this problem. Nowadays, freshly school leavers especially for STPM and Matriculation college students in Malaysia have trouble with selecting a suitable course of public university. There are 20 public universities offering 893 bachelor courses in Malaysia. They need to apply their interested courses through UPU online within stated deadline. In Malaysia, there is only iMASCU which is the recommendation system that show and check the qualification of courses based on the qualification of user. K-Nearest Neighbour based recommendation system is implemented to solve this problem. The objectives of this project are to study the current algorithm and technique in recommendation systems for selecting courses; to implement k-Nearest Neighbour in the recommendation system; and to evaluate the application of the recommendation system. The data is collected from survey made to current public university students. There are six inputs and one target output in the training and testing sets. The result showed that the desired k value for the data is one and k-Nearest Neighbour can be implemented in the Malaysia public university course selection. 2018-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26825/1/Recommendation%20system%20in%20selecting%20course%20of%20public%20university%20in%20Malaysia%20using%20k-Nearest.pdf Thoi, Wen Bin (2018) Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Thoi, Wen Bin Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
description	Internet began growing up with immense speed in these recent years. Business field had discovered many customers and income in the internet. There are huge information and items, and it became overload. Recommendation systems is developed to overcome this problem. Nowadays, freshly school leavers especially for STPM and Matriculation college students in Malaysia have trouble with selecting a suitable course of public university. There are 20 public universities offering 893 bachelor courses in Malaysia. They need to apply their interested courses through UPU online within stated deadline. In Malaysia, there is only iMASCU which is the recommendation system that show and check the qualification of courses based on the qualification of user. K-Nearest Neighbour based recommendation system is implemented to solve this problem. The objectives of this project are to study the current algorithm and technique in recommendation systems for selecting courses; to implement k-Nearest Neighbour in the recommendation system; and to evaluate the application of the recommendation system. The data is collected from survey made to current public university students. There are six inputs and one target output in the training and testing sets. The result showed that the desired k value for the data is one and k-Nearest Neighbour can be implemented in the Malaysia public university course selection.
format	Undergraduates Project Papers
author	Thoi, Wen Bin
author_facet	Thoi, Wen Bin
author_sort	Thoi, Wen Bin
title	Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
title_short	Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
title_full	Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
title_fullStr	Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
title_full_unstemmed	Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
title_sort	recommendation system in selecting course of public university in malaysia using k-nearest neighbour
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/26825/ http://umpir.ump.edu.my/id/eprint/26825/ http://umpir.ump.edu.my/id/eprint/26825/1/Recommendation%20system%20in%20selecting%20course%20of%20public%20university%20in%20Malaysia%20using%20k-Nearest.pdf
first_indexed	2023-09-18T22:42:00Z
last_indexed	2023-09-18T22:42:00Z
_version_	1777416977410686976

Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour

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