A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis

Kenta Fukata, T. Washio, H. Motoda
{"title":"A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis","authors":"Kenta Fukata, T. Washio, H. Motoda","doi":"10.1109/ICDMW.2006.10","DOIUrl":null,"url":null,"abstract":"An auto-regressive exogenous input (ARK) model has been widely used in engineering fields to model dynamic response of a system to exogenous factors. A difficulty in this modeling is the determination of an appropriate model complexity, i.e., orders, for given data. In this paper, we develop a new and practical approach to determine the appropriate orders. Moreover, we apply the developed technique to a real marketing data, and analyze dynamic response character of sales amount to advertisement and sales promotion. In marketing study, static response of sales to some exogenous factors such as advertisement and sales promotion have been analyzed. However, if we can model dynamic response of sales to exogenous factors, more precise strategies of the sales to reduce the risk of the item stock management and increase the associated profit can be designed","PeriodicalId":291862,"journal":{"name":"Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)","volume":"126 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2006.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

An auto-regressive exogenous input (ARK) model has been widely used in engineering fields to model dynamic response of a system to exogenous factors. A difficulty in this modeling is the determination of an appropriate model complexity, i.e., orders, for given data. In this paper, we develop a new and practical approach to determine the appropriate orders. Moreover, we apply the developed technique to a real marketing data, and analyze dynamic response character of sales amount to advertisement and sales promotion. In marketing study, static response of sales to some exogenous factors such as advertisement and sales promotion have been analyzed. However, if we can model dynamic response of sales to exogenous factors, more precise strategies of the sales to reduce the risk of the item stock management and increase the associated profit can be designed
ARX模型订单搜索方法及其在销售动态分析中的应用
自回归外源输入(ARK)模型已广泛应用于工程领域,用于模拟系统对外源因素的动态响应。这种建模的一个难点是确定适当的模型复杂性,即给定数据的顺序。在本文中,我们开发了一种新的和实用的方法来确定适当的顺序。并将所开发的技术应用于一个真实的营销数据,分析了销售额对广告和促销的动态响应特征。在市场营销研究中,分析了销售对广告、促销等外生因素的静态响应。然而,如果我们能够建立销售对外部因素的动态响应模型,就可以设计出更精确的销售策略,从而降低库存管理的风险,增加相关利润
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书