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
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 fol...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Student Project |
| Language: | en |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/37758/1/37758.PDF https://ir.uitm.edu.my/id/eprint/37758/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|