{"title":"基于市场购物篮分析的Odoo数据挖掘模块","authors":"Y. Yulia, G. S. Budhi, Stefani Natalia Hendratha","doi":"10.6109/jicce.2018.16.1.52","DOIUrl":null,"url":null,"abstract":"Odoo is an enterprise resource planning information system providing modules to support the basic business function in \ncompanies. This research will look into the development of an additional module at Odoo. This module is a data mining module \nusing Market Basket Analysis (MBA) using FP-Growth algorithm in managing OLTP of sales transaction to be useful \ninformation for users to improve the analysis of company business strategy. The FP-Growth algorithm used in the application \nwas able to produce multidimensional association rules. The company will know more about their sales and customers� buying \nhabits. Performing sales trend analysis will give a valuable insight into the inner-workings of the business. The testing of the \nmodule is using the data from X Supermarket. The final result of this module is generated from a data mining process in the form \nof association rule. The rule is presented in narrative and graphical form to be understood easier.","PeriodicalId":272551,"journal":{"name":"J. Inform. and Commun. Convergence Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Odoo Data Mining Module Using Market Basket Analysis\",\"authors\":\"Y. Yulia, G. S. Budhi, Stefani Natalia Hendratha\",\"doi\":\"10.6109/jicce.2018.16.1.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Odoo is an enterprise resource planning information system providing modules to support the basic business function in \\ncompanies. This research will look into the development of an additional module at Odoo. This module is a data mining module \\nusing Market Basket Analysis (MBA) using FP-Growth algorithm in managing OLTP of sales transaction to be useful \\ninformation for users to improve the analysis of company business strategy. The FP-Growth algorithm used in the application \\nwas able to produce multidimensional association rules. The company will know more about their sales and customers� buying \\nhabits. Performing sales trend analysis will give a valuable insight into the inner-workings of the business. The testing of the \\nmodule is using the data from X Supermarket. The final result of this module is generated from a data mining process in the form \\nof association rule. The rule is presented in narrative and graphical form to be understood easier.\",\"PeriodicalId\":272551,\"journal\":{\"name\":\"J. Inform. and Commun. Convergence Engineering\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Inform. and Commun. Convergence Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6109/jicce.2018.16.1.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Inform. and Commun. Convergence Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6109/jicce.2018.16.1.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.