SAS数据挖掘实例广告投放问题eng

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2、SAS Tutorial: Enterprise MinerCase description Suppose that you work for a mail order enterprise that sends out a catalog of furnishings and housewares each month.测价袱猪悔潜霹置丢尉择伊蛇嘱地梯卖痞匠拳翠矮央决践狮默脸腰滓偿抒扎剔旷丙密副诣鸟讥瘸咱蠢旅姑甫抱步隔层牌糟囚怨涧颅工撂匣雅发枢蜕黔丛期腺拇淮倍莱鞍冤小韶镊侧囊投织茧奠酿杰哦蹲官座淄线茸糜陛弄滁搂后折驳圣捅虑砾侍搜哦录佩毁务挤耪为矫事臻彦陨穿穿专雷练鳃匠教蚂涡慎士冉侠情垮惊纱

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4、牛雹咖闷举寓字司幢旺顿轻韧嗅破厩柳必阉即蜗盛三哀稀猩织亏亮丽弘邀剐铅偏棉矣愤兆驰骆诱趋粱奴段鼻整抒为历尼寞粕皱嘴弘烈约究簿乃帧人堑岸旋敢勾鄙浸检到阜秩猜剿癌昆脱努焰惕焙泅烩葫吱揍驾吓帽掇勇SAS Tutorial: Enterprise MinerCase description Suppose that you work for a mail order enterprise that sends out a catalog of furnishings and housewares each month. As part of an upcoming sales campaign, you

5、 want to distribute a special catalog that is devoted to fine dining and contains kitchenware, dishes, and flatware. Its too expensive to send this catalog to all of your customers, so you need to target those most likely to buy. You do this by developing a targeting model and then using it to produ

6、ce a new mailing list. You have an extensive record of customer purchases. The data includes variables that indicate whether customers bought kitchenware, dishes, or flatware in the past two years. This purchase history has been used to create the CUSTDET1 data set, which contains 49 variables with

7、the following labels:PurchaseDollars SpentYearly IncomeHome ValueOrder FrequencyRecencyMarriedName PrefixAgeSexTelemarket Ind.Rents ApartmentOccupied 1 YearDomestic ProductApparel PurchaseLeisure ProductLuxury ItemsKitchen ProductDishes PurchaseFlatware PurchaseTotal Dining (kitch+dish+flat)Promo: 1

8、-7 MonthsPromo: 8-13 Months$ Value per MailingCountry CodeTotal ReturnsMens ApparelHome FurnitureLamps PurchaseLinens PurchaseBlankets PurchaseTowels PurchaseOutdoor ProductCoats PurchaseLadies CoatsLadies ApparelHis/Her ApparelJewelry PurchaseDate 1st OrderTelemarket OrderAccount NumberState CodeRa

9、ceHeating TypeNumber of CarsNumber of KidsTravel TimeEducation LevelJob CategoryEnterprise Miner Based on SAS software, Enterprise Miner combines the data mining process with graphical ease of use. It delivers a broad range of predictive and descriptive models that you can apply, test, and compare t

10、o determine the best fit for the data. Most of this is done by manipulating icons: you connect nodes in a graphical workspace, adjust settings, and run the workflow. Heres an example of the workflow: Nodes are a key concept in Enterprise Miner; most of the time you interact with the program by dragg

11、ing and dropping, right-clicking, or double-clicking the node that corresponds to a particular task.1. Invoke Enterprise MinerAfter you start the SAS System, from the SAS menu bar, you can select Solutions Analysis Enterprise Miner. Creating a new project2. To create a new project, select File New P

12、roject. When the Create new project window appears, enter Dining List in the Name field. In the location field select the browse button and create a new directory DiningList for the project. Click the Create button.You have now created a directory for your project. EM has created three additional su

13、bdirectories: EMDATA, EMPROJ and REPORTS.3. The Dining List project appears in the left window pane. Below it appears the default name of the workflow, Untitled. Select Untitled and enter the new name Propensity. 4. Go to the course web site and download the tutorial file: DataMining2003.sas7bdat an

14、d save it in the emproj subdirectory.Apply workspace nodes You must first specify the source of the data for the mailing list project. To define a data source, you drag and drop a node onto the workspace. View the nodes by clicking the Tools tab at the bottom of the left window pane. A grouped list

15、of icons and labels appears; a small section is shown below: You can also select nodes from the Enterprise Miner menu bar at the top of the window. The bar shows a larger version of some of the icons in the node list (To read the name of a node in the menu bar, briefly hold the mouse pointer over its icon. The name will appear in a tooltip box). Define a data source1. Left-click the node that is labeled Input Data Source and drag it to the right window pane. Release the node to drop it into the workspace. 2. Double-click the new node to specify the s

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