欢迎来到天天文库
浏览记录
ID:45616379
大小:509.04 KB
页数:57页
时间:2019-11-15
《面向商务智能的数据挖掘及其应用分析》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、AbstractBigdataerahasarrivedandmassdataischallengingthetraditionalenterprisemanagementmodeandmarketingmode.Intheageofinformation,inordertobetterusehugedatainformationandmakewisedecision,enterprisesshouldeffectivelydealwiththedataandconvertitintovaluablebusinessinformation
2、.Inthisway,businessintelligenceisborn.Itmeanstohelpenterprisemakebetterbusinessdecisionthroughutilizeenterprisersdataproperty.AnapplicationresearchofdatamininginthefieldofbusinessintelligenceisbasedonmarketsegmentationinCRM.Throughtheprocessofextraction,loadinghugeinforma
3、tionrelatedtoconsumerbehavior,analystpredictdemandsforcustomersindifferentsegmentsandthisisbasedonindividualpurchasingbehaviorsandcustomersegmentation.Thispaperisbasedonthemodelingofmarketinganalysisandcustomerrelationship.Somedataminingmodelcontaincustomersurvivalanalysi
4、smodel,customerloyaltymodel,hierarchicalmodelaswellasanalysisandcomparisonofinfluenceofdifferentsalespromotionmode.Thisarticlefirstlydescribeshowpromotionalmodeinfluencesdailysalesbasedontwodifferentpromotionalmodes.Thearticleusesmultiplelinearregression,fixedeffects,Step
5、wiseregressionanalysistodeterminesignificanteffectvariable.Besides,itanalyzesthepurchasingbehaviorofConAgraandPopSecretfordifferentpromotionalmodelsleadtodifferentcustomerpurchasingbehaviors.Theresearchfindsthatfrequentpromotioncanhelpcustomersrecallbrands.Notallnewcustom
6、ersintroducedthroughpromotionactivitiesarepricesensitivecustomersandwefindthatintheirfollowingpurchases,theyalsotrytobuysomenon-promotionalproducts.Inthepartofclusteringanalysis,thispapertriedtwomethodstodividethecustomersintodifferentcategoriesandsummarizesthefeaturesofc
7、ustomersindifferentcategories.Intheprocessofclassification,weusedafastclusteringmethodandWardfsmethodtosegmentcustomersandresultsareexpressedbyscatterdiagram.ComparedtoWardt,fastclusteringmethodismoresuitableforthecustomercategory.Asquareshapedscatterplotshowsthatcategori
8、esareverynea匚Withineachcategory,theobservationsarenotsoconcentrated.SoIchooseafastclusteringmeth
此文档下载收益归作者所有