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

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 [Student Project] (Unpublished)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
Creators:
CreatorsEmail / ID. Num
Ruslan, Mohammad AdhaUNSPECIFIED
Mohammad Ramly, Nurul ShahiraUNSPECIFIED
Saberi, Nor HaslizaUNSPECIFIED
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
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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