基于市场购物篮分析的Odoo数据挖掘模块

Y. Yulia, G. S. Budhi, Stefani Natalia Hendratha
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引用次数: 0

摘要

Odoo是一个企业资源规划信息系统,提供支持公司基本业务功能的模块。这项研究将着眼于在Odoo开发一个额外的模块。本模块是一个数据挖掘模块,利用市场购物篮分析(MBA),利用FP-Growth算法管理销售交易的OLTP,为用户提供有用的信息,提高对公司经营战略的分析。应用程序中使用的FP-Growth算法能够生成多维关联规则。公司将更了解他们的销售和客户的购买习惯。进行销售趋势分析将对企业的内部运作提供有价值的见解。模块的测试使用的是来自X超市的数据。该模块的最终结果以关联规则的形式通过数据挖掘过程生成。该规则以叙述和图形形式呈现,以便更容易理解。
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Odoo Data Mining Module Using Market Basket Analysis
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.
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