Ruslan, Mohammad Adha and Mohammad Ramly, Nurul Shahira and Saberi, Nor Hasliza (2019) Comparison between Market Basket Analysis and Partition Around Medoids clustering for knowledge discovering in consumer consumption pattern / Mohammad Adha Ruslan, Nurul Shahira Mohammad Ramly and Nor Hasliza Saberi. [Student Project] (Unpublished)
Abstract
Nowadays, Knowledge Data Discovery (KOO), is an important knowledge for the industry and an organized process of understandable patterns from a large data set. The main purpose of this study are to compare the knowledge discovery between Market Basket Analysis and Partition Around Medoids and followed by to generate a customer buying pattern by using Market Basket Analysis (MBA) Algorithm and Partition Around Medoids (PAM) Clustering Algorithm. Using two different method, which are Market Basket Analysis and Partition Around Medoids, this study analyse the outcome of both methods in terms of pattern recognition.
Metadata
Item Type: | Student Project | ||||||||
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Subjects: | Q Science > QA Mathematics > Fuzzy arithmetic Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems Q Science > QA Mathematics > Fuzzy logic |
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Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences | ||||||||
Programme: | Bachelor of Science (Hons.) (Management Mathematics) | ||||||||
Item ID: | 37758 | ||||||||
Uncontrolled Keywords: | Comparison Market Basket Analysis, Partition Around Medoids clustering, knowledge discovering, consumer consumption pattern | ||||||||
URI: | http://ir.uitm.edu.my/id/eprint/37758 |
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