Market Basket Analysis for E-Commerce using Association Rule Mining
Nowadays, shopping with ecommerce has become the most common lifestyle for everyone in modern era. In order to make the research to be successful, it requires to discover the best research effort to improve the algorithm. In order to make this research successful, author will need to identify the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2020
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1423/ http://eprints.intimal.edu.my/1423/1/ij2020_15.pdf |
| _version_ | 1848766733946454016 |
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| author | Kayalvily, Tabianan* Sarasvathi, Nahalingham* Leong, Kai Cheng* |
| author_facet | Kayalvily, Tabianan* Sarasvathi, Nahalingham* Leong, Kai Cheng* |
| author_sort | Kayalvily, Tabianan* |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Nowadays, shopping with ecommerce has become the most common lifestyle for everyone in modern
era. In order to make the research to be successful, it requires to discover the best research effort to
improve the algorithm. In order to make this research successful, author will need to identify the best
algorithm for finding the item sets frequently bough together and top sales product on each country to
predict the sales. The author has developed an ecommerce system which has back-end system to
display the performance of the product and using Association Rule Mining on the datasets. By using
this system, they can know the hidden product relationships which product has the potential to be
purchase together. For develop the system author has uses KDD research methodology which can help
to extract the minimal support, confidence and lift from the datasets |
| first_indexed | 2025-11-14T11:55:51Z |
| format | Article |
| id | intimal-1423 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:55:51Z |
| publishDate | 2020 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-14232024-03-18T04:15:36Z http://eprints.intimal.edu.my/1423/ Market Basket Analysis for E-Commerce using Association Rule Mining Kayalvily, Tabianan* Sarasvathi, Nahalingham* Leong, Kai Cheng* QA76 Computer software Nowadays, shopping with ecommerce has become the most common lifestyle for everyone in modern era. In order to make the research to be successful, it requires to discover the best research effort to improve the algorithm. In order to make this research successful, author will need to identify the best algorithm for finding the item sets frequently bough together and top sales product on each country to predict the sales. The author has developed an ecommerce system which has back-end system to display the performance of the product and using Association Rule Mining on the datasets. By using this system, they can know the hidden product relationships which product has the potential to be purchase together. For develop the system author has uses KDD research methodology which can help to extract the minimal support, confidence and lift from the datasets INTI International University 2020-09 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1423/1/ij2020_15.pdf Kayalvily, Tabianan* and Sarasvathi, Nahalingham* and Leong, Kai Cheng* (2020) Market Basket Analysis for E-Commerce using Association Rule Mining. INTI JOURNAL, 2020 (15). ISSN e2600-7320 http://intijournal.newinti.edu.my |
| spellingShingle | QA76 Computer software Kayalvily, Tabianan* Sarasvathi, Nahalingham* Leong, Kai Cheng* Market Basket Analysis for E-Commerce using Association Rule Mining |
| title | Market Basket Analysis for E-Commerce using Association Rule Mining |
| title_full | Market Basket Analysis for E-Commerce using Association Rule Mining |
| title_fullStr | Market Basket Analysis for E-Commerce using Association Rule Mining |
| title_full_unstemmed | Market Basket Analysis for E-Commerce using Association Rule Mining |
| title_short | Market Basket Analysis for E-Commerce using Association Rule Mining |
| title_sort | market basket analysis for e-commerce using association rule mining |
| topic | QA76 Computer software |
| url | http://eprints.intimal.edu.my/1423/ http://eprints.intimal.edu.my/1423/ http://eprints.intimal.edu.my/1423/1/ij2020_15.pdf |