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 [Student Project] (Unpublished)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:	Creators Email / ID Num. Ruslan, Mohammad Adha UNSPECIFIED Mohammad Ramly, Nurul Shahira UNSPECIFIED Saberi, Nor Hasliza UNSPECIFIED
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)
Keywords:	Comparison Market Basket Analysis, Partition Around Medoids clustering, knowledge discovering, consumer consumption pattern
Date:	2019
URI:	https://ir.uitm.edu.my/id/eprint/37758