1、HEBEIUNIVERSITY 密级：分类号：学校代码：10075 学号：43011208008 硕士学位论文数据挖掘技术在母婴用品销售分析中的应用研究学位申请人：陈素羡指导教师：袁方教授王煜教授企业导师：田月龙高级工程师学位类别：工程硕士授予单位：河北大学完成日期：二〇一三年五月Classified Index：CODE：10075 U.D.C：NO：43011208008 A Dissertation for the Degree of MasterApplication Research of Data MiningTechnology in the S
2、ales Analysis of Maternal and Baby Products Candidate:ChenSuxian Supervisor:Prof.YuanFang Prof.Wang Yu AdvisorinEnterprise: SE.TianYuelong Academic DegreeApplied for: MasterofEngineering University:Hebei University Date ofAccomplishment:May,2013摘要摘要随着社会经济及信息技术的发展，目前连锁企业几乎都建立了自己的商品进销
4、的效率；在新品销售预测子系统中使用动态排序二分法对连续值进行离散化，并利用ID3算法对母婴用品连锁企业销售的各类型商品销售情况建立了商品销售预测的决策树，实现了对类似属性新品的预测功能。本文利用母婴用品销售分析系统分析了2009年7 月到2012 年7 月某市贝因美母婴用品连锁企业的商品销售数据，并将分析结果和销售预测信息应用到了该企业当中，为企业的管理与经营决策提供了帮助，取得了较好的效果。关键词数据挖掘关联规则决策树母婴用品IAbstract AbstractWiththe developmentofsocialeconomyand information
5、technology,mostofthe chainenterpriseshave established theirowngoodsinvoicing systemto collecta large number ofhistoricaldata the customer bought.The operatorscananalyzethese data through mining technologyand find outvaluable, timelyinformationtomakemarketing decisions.Thispaperisto
6、studythe applicationofmining technologyinmaternaland child supplieschainenterprises.The maincontentsare the followings: The designofmaternaland child suppliessalesanalysissystem,itconsistsofdatapretreatmentsystem,merchandise salesstatisticsanalysissubsystem,commoditysalesanalysissub
7、systemand salesforecastetc.; the applicationofApriorialgorithmincommoditysalesoptimizationsubsystem,it improved the efficiencyofsearching and frequentcustomer purchase goodsfromtwo anglesofthe number ofrecordsand the candidate itemsetsin the database;The use ofdynamic ordering dicho
