JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Odoo Data Mining Module Using Market Basket Analysis |
| 영문제목(English Title) |
Odoo Data Mining Module Using Market Basket Analysis |
| 저자(Author) |
Yulia
Gregorius Satia Budhi
Stefani Natalia Hendratha
|
| 원문수록처(Citation) |
VOL 16 NO. 01 PP. 0052 ~ 0059 (2018. 03) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Odoo is an enterprise resource planning information system providing modules to support the basic business function in companies. This research will look into the development of an additional module at Odoo. This module is a data mining module using Market Basket Analysis (MBA) using FP-Growth algorithm in managing OLTP of sales transaction to be useful information for users to improve the analysis of company business strategy. The FP-Growth algorithm used in the application was able to produce multidimensional association rules. The company will know more about their sales and customers’ buying habits. Performing sales trend analysis will give a valuable insight into the inner-workings of the business. The testing of the module is using the data from X Supermarket. The final result of this module is generated from a data mining process in the form of association rule. The rule is presented in narrative and graphical form to be understood easier.
|
| 키워드(Keyword) |
Data mining
FP-Growth
Market Basket Analysis
Odoo
|
| 파일첨부 |
PDF 다운로드
|
