基于Logistic回归模型的预测模型研究与实现——关于消费者购买平板电脑的可能性

2012 Fifth International Joint Conference on Computational Sciences and Optimization Pub Date : 2012-06-23 DOI:10.1109/CSO.2012.146

Weina Zhang, Shuang Feng, Hua Li

{"title":"基于Logistic回归模型的预测模型研究与实现——关于消费者购买平板电脑的可能性","authors":"Weina Zhang, Shuang Feng, Hua Li","doi":"10.1109/CSO.2012.146","DOIUrl":null,"url":null,"abstract":"In order to provide marketing support for online shop owner, this paper describes how to analyze historical data of online shop customer behaviors by data mining, and establishes logistic predictive modeling by SAS, then predicts whether customers purchase a Tablet PC online shop. Practice has proved that data mining techniques and predictive regression modeling can be effectively integrated in the application system, and the predictive modeling can predict the possibility of customers to buy goods. Also the predictive modeling has usability and availability.","PeriodicalId":170543,"journal":{"name":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and Implementation of Predictive Modeling Based on Logistic Regression Modeling: About Possibility of Customer to Buy a Tablet PC\",\"authors\":\"Weina Zhang, Shuang Feng, Hua Li\",\"doi\":\"10.1109/CSO.2012.146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to provide marketing support for online shop owner, this paper describes how to analyze historical data of online shop customer behaviors by data mining, and establishes logistic predictive modeling by SAS, then predicts whether customers purchase a Tablet PC online shop. Practice has proved that data mining techniques and predictive regression modeling can be effectively integrated in the application system, and the predictive modeling can predict the possibility of customers to buy goods. Also the predictive modeling has usability and availability.\",\"PeriodicalId\":170543,\"journal\":{\"name\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2012.146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2012.146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

为了给网店店主提供营销支持，本文介绍了如何通过数据挖掘对网店顾客行为的历史数据进行分析，并利用SAS建立logistic预测模型，进而预测顾客是否购买了平板电脑网店。实践证明，数据挖掘技术和预测回归建模可以有效地集成在应用系统中，预测建模可以预测客户购买商品的可能性。预测建模具有可用性和可用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research and Implementation of Predictive Modeling Based on Logistic Regression Modeling: About Possibility of Customer to Buy a Tablet PC

In order to provide marketing support for online shop owner, this paper describes how to analyze historical data of online shop customer behaviors by data mining, and establishes logistic predictive modeling by SAS, then predicts whether customers purchase a Tablet PC online shop. Practice has proved that data mining techniques and predictive regression modeling can be effectively integrated in the application system, and the predictive modeling can predict the possibility of customers to buy goods. Also the predictive modeling has usability and availability.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 Fifth International Joint Conference on Computational Sciences and Optimization

自引率

0.00%

发文量