IBM SPSS Modeler 14.2 User's Guide
iIBM SPSS Modeler 14.2 User’s Guide
Note: Before using this information and the product it supports, read the general informationunder Notices on p. 250.This edition applies to IBM SPSS Modeler 14 and to all subsequent releases and modificationsuntil otherwise indicated in new editions.Adobe product screenshot(s) reprinted with permission from Adobe Systems Incorporated.Microsoft product screenshot(s) reprinted with permission from Microsoft Corporation.Licensed Materials - Property of IBM Copyright IBM Corporation 1994, 2011.U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADPSchedule Contract with IBM Corp.
PrefaceIBM SPSS Modeler is the IBM Corp. enterprise-strength data mining workbench. SPSSModeler helps organizations to improve customer and citizen relationships through an in-depthunderstanding of data. Organizations use the insight gained from SPSS Modeler to retainprofitable customers, identify cross-selling opportunities, attract new customers, detect fraud,reduce risk, and improve government service delivery.SPSS Modeler’s visual interface invites users to apply their specific business expertise, whichleads to more powerful predictive models and shortens time-to-solution. SPSS Modeler offersmany modeling techniques, such as prediction, classification, segmentation, and associationdetection algorithms. Once models are created, IBM SPSS Modeler Solution Publisherenables their delivery enterprise-wide to decision makers or to a database.About IBM Business AnalyticsIBM Business Analytics software delivers complete, consistent and accurate information thatdecision-makers trust to improve business performance. A comprehensive portfolio of businessintelligence, predictive analytics, financial performance and strategy management, and analyticapplications provides clear, immediate and actionable insights into current performance and theability to predict future outcomes. Combined with rich industry solutions, proven practices andprofessional services, organizations of every size can drive the highest productivity, confidentlyautomate decisions and deliver better results.As part of this portfolio, IBM SPSS Predictive Analytics software helps organizations predictfuture events and proactively act upon that insight to drive better business outcomes. Commercial,government and academic customers worldwide rely on IBM SPSS technology as a competitiveadvantage in attracting, retaining and growing customers, while reducing fraud and mitigatingrisk. By incorporating IBM SPSS software into their daily operations, organizations becomepredictive enterprises – able to direct and automate decisions to meet business goals and achievemeasurable competitive advantage. For further information or to reach a representative visithttp://www.ibm.com/spss.Technical supportTechnical support is available to maintenance customers. Customers may contact TechnicalSupport for assistance in using IBM Corp. products or for installation help for one of thesupported hardware environments. To reach Technical Support, see the IBM Corp. web siteat http://www.ibm.com/support. Be prepared to identify yourself, your organization, and yoursupport agreement when requesting assistance. Copyright IBM Corporation 1994, 2011.iii
Contents1About IBM SPSS Modeler1IBM SPSS Modeler Server . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1IBM SPSS Modeler Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1IBM SPSS Text Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2IBM SPSS Modeler Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2Application Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Demos Folder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42New Features5New and Changed Features in IBM SPSS Modeler 14.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5New Nodes in IBM SPSS Modeler 14.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53IBM SPSS Modeler Overview7Getting Started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Starting IBM SPSS Modeler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Launching from the Command Line . . . . . . . . . . .Connecting to IBM SPSS Modeler Server . . . . . .Changing the Temp Directory . . . . . . . . . . . . . . . .Starting Multiple IBM SPSS Modeler Sessions . .IBM SPSS Modeler Interface at a Glance . . . . . . . . . .88121213IBM SPSS Modeler Stream Canvas . . . . . . . .Nodes Palette . . . . . . . . . . . . . . . . . . . . . . . .IBM SPSS Modeler Managers . . . . . . . . . . . .IBM SPSS Modeler Projects . . . . . . . . . . . . .IBM SPSS Modeler Toolbar . . . . . . . . . . . . . .Customizing the Toolbar . . . . . . . . . . . . . . . . .Customizing the IBM SPSS Modeler Window.Using the Mouse in IBM SPSS Modeler . . . . .Using Shortcut Keys . . . . . . . . . . . . . . . . . . .Printing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .13131416171819202021.Automating IBM SPSS Modeler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21iv
4Understanding Data Mining23Data Mining Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Assessing the Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24A Strategy for Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26The CRISP-DM Process Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26Types of Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Data Mining Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345Building Streams35Stream-Building Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Building Data Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Working with Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Working with Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Stream Descriptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Running Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Working with Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Adding Comments and Annotations to Nodes and Streams . .Saving Data Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Loading Files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Mapping Data Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Tips and Shortcuts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Handling Missing Values.3647626566667678798487Overview of Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87Handling Missing Values. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88Handling Records with Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Handling Fields with Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Imputing or Filling Missing Values. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90CLEM Functions for Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917Building CLEM Expressions93About CLEM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93CLEM Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96v
Values and Data Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98Expressions and Conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99Stream, Session, and SuperNode Parameters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100Working with Strings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100Handling Blanks and Missing Values. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101Working with Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102Working with Times and Dates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102Summarizing Multiple Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103Working with Multiple-Response Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104The Expression Builder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105Accessing the Expression Builder . . . . . . . . . . . . . . .Creating Expressions . . . . . . . . . . . . . . . . . . . . . . . . .Selecting Functions . . . . . . . . . . . . . . . . . . . . . . . . . .Selecting Fields, Parameters, and Global Variables . .Viewing or Selecting Values. . . . . . . . . . . . . . . . . . . .Checking CLEM Expressions . . . . . . . . . . . . . . . . . . .Find and Replace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8.CLEM Language Reference.107107108109109111111115CLEM Reference Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115CLEM Datatypes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115Integers. . . . .Reals . . . . . . .Characters . .Strings. . . . . .Lists. . . . . . . .Fields. . . . . . .Dates. . . . . . .Time . . . . . . .CLEM Operators . .116116116117117117117118119Functions Reference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121Conventions in Function DescriptionsInformation Functions . . . . . . . . . . . .Conversion Functions . . . . . . . . . . . .Comparison Functions . . . . . . . . . . . .Logical Functions. . . . . . . . . . . . . . . .Numeric Functions . . . . . . . . . . . . . .Trigonometric Functions . . . . . . . . . .Probability Functions . . . . . . . . . . . . .Bitwise Integer Operations . . . . . . . .vi.121122123124125126127128128
Random Functions . . . . . . . . . . . . . . . . . . . . .String Functions. . . . . . . . . . . . . . . . . . . . . . .SoundEx Functions . . . . . . . . . . . . . . . . . . . .Date and Time Functions . . . . . . . . . . . . . . . .Sequence Functions . . . . . . . . . . . . . . . . . . .Global Functions . . . . . . . . . . . . . . . . . . . . . .Functions Handling Blanks and Null Values . .Special Fields . . . . . . . . . . . . . . . . . . . . . . . .9.Using IBM SPSS Modeler with a Repository.129130134135139143144145147About the IBM SPSS Collaboration and Deployment Services Repository . . . . . . . . . . . . . . . . . . 147Storing and Deploying IBM SPSS Collaboration and Deployment Services Repository Objects . . 149Connecting to the IBM SPSS Collaboration and Deployment Services Repository . . . . . . . . . . . . 150Entering Credentials for the IBM SPSS Collaboration and Deployment Services Repository . 151Browsing the IBM SPSS Collaboration and Deployment Services Repository Contents . . . . . . . . 152Storing Objects in the IBM SPSS Collaboration and Deployment Services Repository . . . . . . . . . 153Setting Object Properties. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Storing Streams. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Storing Projects. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Storing Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Storing Output Objects. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Storing Models and Model Palettes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Retrieving Objects from the IBM SPSS Collaboration and Deployment Services Repository . . . .153159159160160161161Choosing an Object to Retrieve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163Selecting an Object Version . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164Searching for Objects in the IBM SPSS Collaboration and Deployment Services Repository . . . . 164Modifying IBM SPSS Collaboration and Deployment Services Repository Objects . . . . . . . . . . . 167Creating, Renaming, and Deleting Folders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Locking and Unlocking IBM SPSS Collaboration and Deployment Services RepositoryObjects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Deleting IBM SPSS Collaboration and Deployment Services Repository Objects . . . . . . . . .Managing Properties of IBM SPSS Collaboration and Deployment Services Repository Objects .167Viewing Folder Properties . . . . . . . . . . . .Viewing and Editing Object Properties . . .Managing Object Version Labels . . . . . . .Deploying Streams . . . . . . . . . . . . . . . . . . . . .169170173174.167168169Stream Deployment Options. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175The Scoring Branch. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178vii
10 Exporting to External Applications185About Exporting to External Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185Opening a Stream in IBM SPSS Modeler Advantage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185Predictive Applications 4.x Wizard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186Before Using the Predictive Applications Wizard . . . .Exporting Binary Predictions as Propensity Scores . .Step 1: Predictive Applications Wizard Overview . . .Step 2: Selecting a Terminal Node . . . . . . . . . . . . . . .Step 3: Selecting a UCV Node . . . . . . . . . . . . . . . . . .Step 4: Specifying a Package. . . . . . . . . . . . . . . . . . .Step 5: Generating the Package. . . . . . . . . . . . . . . . .Step 6: Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . .Importing and Exporting Models as PMML . . . . . . . . . . . .187188188189190192192195195Model Types Supporting PMML . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19711 Projects and Reports199Introduction to Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199CRISP-DM View. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200Classes View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201Building a Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201Creating a New Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Adding to a Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Transferring Projects to the IBM SPSS Collaboration and Deployment Services Repository .Setting Project Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Annotating a Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Object Properties. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Closing a Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Generating a Report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .201202203204205207208208Saving and Exporting Generated Reports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21112 Customizing IBM SPSS Modeler214Customizing IBM SPSS Modeler Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214Setting IBM SPSS Modeler Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214System Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214Setting Default Directories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215viii
Setting User Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215Setting User Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224Customizing the Nodes Palette . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224Customizing the Palette Manager . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224Changing a Palette Tab View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229CEMI Node Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23013 Performance Considerations for Streams and Nodes231Order of Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231Node Caches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232Performance: Process Nodes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234Performance: Modeling Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235Performance: CLEM Expressions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235AppendicesA Accessibility in IBM SPSS Modeler237Overview of Accessibility in IBM SPSS Modeler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237Types of Accessibility Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237Accessibility for the Visually Impaired . . .Accessibility for Blind Users . . . . . . . . . .Keyboard Accessibility . . . . . . . . . . . . . .Using a Screen Reader . . . . . . . . . . . . . .Tips for Use . . . . . . . . . . . . . . . . . . . . . . . . . .237238239246247Interference with Other Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247JAWS and Java . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248Using Graphs in IBM SPSS Modeler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248249B Unicode SupportUnicode Support in IBM SPSS Modeler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249ix
C Notices250Index253x
ChapterAbout IBM SPSS Modeler1IBM SPSS Modeler is a set of data mining tools that enable you to quickly develop predictivemodels using business expertise and deploy them into business operations to improve decisionmaking. Designed around the industry-standard CRISP-DM model, SPSS Modeler supports theentire data mining process, from data to better business results.SPSS Modeler offers a variety of modeling methods taken from machine learning, artificialintelligence, and statistics. The methods available on the Modeling palette allow you to derivenew information from your data and to develop predictive models. Each method has certainstrengths and is best suited for particular types of problems.SPSS Modeler can be purchased as a standalone product, or used in combination with SPSS ModelerServer. A number of additional options are also available, as summarized in the following sections.For more information, see s/modeler/.IBM SPSS Modeler ServerSPSS Modeler uses a client/server architecture to distribute requests for resource-intensiveoperations to powerful server software, resulting in faster performance on larger data sets.Additional products or updates beyond those listed here may also be available. For moreinformation, see s/modeler/.SPSS Modeler. SPSS Modeler is a functionally complete version of the product that is installedand run on the user’s desktop computer. It can be run in local mode as a standalone product orin distributed mode along with IBM SPSS Modeler Server for improved performance onlarge data sets.SPSS Modeler Server. SPSS Modeler Server runs continually in distributed analysis mode togetherwith one or more IBM SPSS Modeler installations, providing superior performance on largedata sets because memory-intensive operations can be done on the server without downloadingdata to the client computer. SPSS Modeler Server also provides support for SQL optimization andin-database modeling capabilities, delivering further benefits in performance and automation. Atleast one SPSS Modeler installation must be present to run an analysis.IBM SPSS Modeler OptionsThe following components and features can be separately purchased and licensed for use withSPSS Modeler. Note that additional products or updates may also become available. For moreinformation, see s/modeler/. SPSS Modeler Server access, providing improved scalability and performance on large datasets, as well as support for SQL optimization and in-database modeling capabilities. Copyright IBM Corporation 1994, 2011.1
2Chapter 1 SPSS Modeler Solution Publisher, for real-time or automated scoring outside the SPSSModeler environment. For more information, see the topic IBM SPSS Modeler SolutionPublisher in Chapter 2 in IBM SPSS Modeler 14.2 Solution Publisher. Adapters to enable deployment to IBM SPSS Collaboration and Deployment Services orthe thin-client application IBM SPSS Modeler Advantage. For more information, see thetopic Storing and Deploying IBM SPSS Collaboration and Deployment Services RepositoryObjects in Chapter 9 on p. 149.IBM SPSS Text AnalyticsIBM SPSS Text Analytics is a fully integrated add-on for SPSS Modeler that uses advancedlinguistic technologies and Natural Language Processing (NLP) to rapidly process a large varietyof unstructured text data, extract and organize the key concepts, and group these concepts intocategories. Extracted concepts and categories can be combined with existing structured data, suchas demographics, and applied to modeling using the full suite of IBM SPSS Modeler datamining tools to yield better and more focused decisions. The Text Mining node offers concept and category modeling, as well as an interactiveworkbench where you can perform advanced exploration of text links and clusters, createyour own categories, and refine the linguistic resource templates. A number of import formats are supported, including blogs and other web-based sources. Custom templates, libraries, and dictionaries for specific domains, such as CRM andgenomics, are also included.Note: A separate license is required to access this component. For more information, ucts/modeler/.IBM SPSS Modeler DocumentationComplete documentation in online help format is available from the Help menu of SPSS Modeler.This includes documentation for SPSS Modeler, SPSS Modeler Server, and SPSS ModelerSolution Publisher, as well as the Applications Guide and other supporting materials.Complete documentation for each product in PDF format is available under the \Documentationfolder on each product DVD. IBM SPSS Modeler User’s Guide. General introduction to using SPSS Modeler, including howto build data streams, handle missing values, build CLEM expressions, work with projects andreports, and package streams for deployment to IBM SPSS Collaboration and DeploymentServices, Predictive Applications, or IBM SPSS Modeler Advantage. IBM SPSS Modeler Source, Process, and Output Nodes. Descriptions of all the nodes used toread, process, and output data in different formats. Effectively this means all nodes otherthan modeling nodes. IBM SPSS Modeler Modeling Nodes. Descriptions of all the nodes used to create data miningmodels. IBM SPSS Modeler offers a variety of modeling methods taken from machinelearning, artificial intelligence, and statistics. For more information, see the topic Overviewof Modeling Nodes in Chapter 3 in IBM SPSS Modeler 14.2 Modeling Nodes.
3About IBM SPSS Modeler IBM SPSS Modeler Algorithms Guide. Descriptions of the mathematical foundations of themodeling methods used in SPSS Modeler. IBM SPSS Modeler Applications Guide. The examples in this guide provide brief, targetedintroductions to specific modeling methods and techniques. An online version of this guideis also available from the Help menu. For more information, see the topic ApplicationExamples on p. 3. IBM SPSS Modeler Scripting and Automation. Information on automating the system throughscripting,
IBM SPSS Modeler is the IBM Corp. enterprise-strength data mining workbench. SPSS Modeler helps organizations to improve customer and citizen relationships through an in-depth understanding of data. Organizations use the insight gained from SPSS Modeler to retain . Services, Predictive Applications, or IBM SPSS Modeler Advantage.
IBM SPSS Modeler is the IBM Corp. enterprise-strength data mining workbench. SPSS Modeler helps organizations to improve customer and citizen relationships through an in-depth understanding of data. Organizations use the insight gained from SPSS Modeler to retain . Services, Predictive Applications, or IBM SPSS Modeler Advantage.
IBM SPSS Modeler Server SPSS Modeler uses a client/server architecture to distribute requests for resource-intensive operations to powerful server software, resulting in faster performance on larger data sets. SPSS Modeler Server is a separately-licensed product that runs continually in distributed analysis
SPSS for Windows Version 19.0: A Basic Tutorial Linda Fiddler, California State University, Bakersfield . all you have to do to start IBM SPSS is to point to the IBM SPSS 19 icon on the desktop and double click. Then wait while IBM SPSS loads. After IBM SPSS loads, you may, depending on how IBM SPSS is set up, get a menu that .
ServicesIBM SPSS Visualization DesignerIBM SPSS Modeler Text AnalyticsIBM SPSS Text Analytics for Surveys IBM Analytical Decision ManagementIBM SPSS Modeler Social Network AnalysisIBM SPSS Analytic Server and to all subsequent releases and modifications until otherwise indicated in new editions.
Here is what the three main windows in SPSS 17.0—SPSS Data Editor, SPSS Syntax Editor, and SPSS Viewer—look like in the Windows operating environment . The SPSS Data Editor window shows the active data file. The SPSS Syntax Editor window has an SPSS program typed into it. The results of the program appear in the SPSS Viewer window.
IBM ODM IBM Operational Decision Manager IBM PMQ IBM Predictive Maintenance and Quality IBM SPSS ADM IBM SPSS Analytical Decision Management IBM SPSS C&D IBM SPSS Collaboration and Deployment Services JSON JavaScript Object Notation JVM Java Virtual Mac
IBM SPSS Modeler is the IBM Corp. enterprise-strength data mining workbench. SPSS Modeler helps organizations to improve customer and citizen relationships through an in-depth understanding of data. Organizations use the in
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