Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique

Currently, Universiti Utara Malaysia (UUM) has a significant number of international students. Since they are from various background and culture, their preferences towards purchasing products are different. This study intends to identify purchasing patterns of 2 groups of students: Arab and Malaysi...

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Main Author:	Abuhamdah, Anmar Fakhri Moh'd
Format:	Thesis
Language:	eng eng
Published:	2006
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/1823/1/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf https://etd.uum.edu.my/1823/2/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf
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id	my-uum-etd.1823
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spelling	my-uum-etd.18232013-07-24T12:13:17Z Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique 2006 Abuhamdah, Anmar Fakhri Moh'd Faculty of Information Technology Faculty of Information Technology QA76 Computer software Currently, Universiti Utara Malaysia (UUM) has a significant number of international students. Since they are from various background and culture, their preferences towards purchasing products are different. This study intends to identify purchasing patterns of 2 groups of students: Arab and Malaysian. The 2 groups have been chosen because they represent the major groups of the postgraduate students. A questionnaire has been constructed and used to collect data. The sample of data consists of postgraduate students from Arab and Malaysia. The total number of postgraduate students is 2122 and the total number of the sample data is 547 (30% of the population). Apriori Algorithmn, which is a popular data mining technique has been used to identify the purchasing patterns. The study discovered that items such as fruits, vegetables, drinks and pickled food are frequently purchased by the Arabs. The Malaysians, however prefer items such as Pickled Foods, Snack Foods, and Other Stuff. A more comprehensive work in the future is suggested so that result obtained can be generalized. The study has been successful achieving all objectives. It is hope that the results could be use to strategic UUM as the patterns identified could be used to strategize UUM's retailing businesses and at the same time provide adequate facilities in terms of selling preferred products to its consumers. 2006 Thesis https://etd.uum.edu.my/1823/ https://etd.uum.edu.my/1823/1/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf application/pdf eng validuser https://etd.uum.edu.my/1823/2/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software Abuhamdah, Anmar Fakhri Moh'd Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
description	Currently, Universiti Utara Malaysia (UUM) has a significant number of international students. Since they are from various background and culture, their preferences towards purchasing products are different. This study intends to identify purchasing patterns of 2 groups of students: Arab and Malaysian. The 2 groups have been chosen because they represent the major groups of the postgraduate students. A questionnaire has been constructed and used to collect data. The sample of data consists of postgraduate students from Arab and Malaysia. The total number of postgraduate students is 2122 and the total number of the sample data is 547 (30% of the population). Apriori Algorithmn, which is a popular data mining technique has been used to identify the purchasing patterns. The study discovered that items such as fruits, vegetables, drinks and pickled food are frequently purchased by the Arabs. The Malaysians, however prefer items such as Pickled Foods, Snack Foods, and Other Stuff. A more comprehensive work in the future is suggested so that result obtained can be generalized. The study has been successful achieving all objectives. It is hope that the results could be use to strategic UUM as the patterns identified could be used to strategize UUM's retailing businesses and at the same time provide adequate facilities in terms of selling preferred products to its consumers.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Abuhamdah, Anmar Fakhri Moh'd
author_facet	Abuhamdah, Anmar Fakhri Moh'd
author_sort	Abuhamdah, Anmar Fakhri Moh'd
title	Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
title_short	Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
title_full	Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
title_fullStr	Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
title_full_unstemmed	Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique
title_sort	identifying purchasing patterns of arab and malaysian students using data mining technique
granting_institution	Universiti Utara Malaysia
granting_department	Faculty of Information Technology
publishDate	2006
url	https://etd.uum.edu.my/1823/1/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf https://etd.uum.edu.my/1823/2/Anmar_Fakhri_Moh%27d_Abuhamdah-Identifying_purchasing_patterns_of_Arab_and_Malaysian_student_using_data_mining_technique.pdf
_version_	1747827212436897792

Identifying Purchasing Patterns of Arab and Malaysian Students Using Data Mining Technique

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