Challenge yourself with scripting, for ultimate control and automation using Packt’s new book and eBook.

November 2013 | Cookbooks, Enterprise

Packt is pleased to announce the release of its new book IBM SPSS Modeler Cookbook, by Keith McCormick, Dean Abbott, Meta S. Brown, Tom Khabaza, and Scott R. Mutchler. This is a practical cookbook with intermediate to advanced recipes for SPSS Modeler data analysts. The print book has 382 pages and is competitively priced at $64.99, while the eBook and Kindle versions are available for $31.19.

About the Author:

Keith McCormick
Keith McCormick is the Vice President and General Manager of QueBIT Consulting's Advanced Analytics team. He has been doing data mining and using IBM SPSS Modeler since its arrival in North America in the late 1990s, and is also an expert in IBM's SPSS software suite.

Dean Abbott
Dean Abbott is the President of Abbott Analytics, Inc. in San Diego, California. He has developed, coded, and evaluated algorithms for use in commercial data mining and pattern recognition products. He is an experienced instructor having taught both applied and hands-on data mining courses.

Meta S. Brown
Meta S. Brown is a hands-on analyst who has tackled projects with up to $900 million at stake, and she is a recognized expert in cutting-edge business analytics. A sought-after analytics speaker, she has conducted over 4000 hours of seminars.

Tom Khabaza
Tom Khabaza is an independent consultant in predictive analytics and data mining, and the Founding Chairman of the Society of Data Miners. He is a data mining veteran of over 20 years. He has helped to create the IBM SPSS Modeler (Clementine) data mining workbench and the industry standard CRISP-DM methodology, and led the first integration of data mining and text mining.

Scott R. Mutchler
Scott R. Mutchler is the Vice President of Advanced Analytics Services at QueBIT Consulting LLC. He was the Predictive Analytics Worldwide Industrial Sector Lead for IBM, and in this role, he worked with IBM SPSS clients worldwide.

IBM SPSS Modeler is a data mining workbench that enables the reader to explore data, identify important relationships that can leverage, and build predictive models quickly, allowing the organization to base its decisions on hard data not hunches.

IBM SPSS Modeler Cookbook takes the reader beyond the basics and shares the tips, timesavers, and workarounds that experts use to increase productivity and extract the maximum value from data. This practical guide is loaded with detailed step-by-step examples to build models that the reader can deploy in the day-to-day running of their business.

IBM SPSS Modeler Cookbook covers the following topics:
Chapter 1: Data Understanding
Chapter 2: Data Preparation – Select
Chapter 3: Data Preparation – Clean
Chapter 4: Data Preparation – Construct
Chapter 5: Data Preparation – Integrate and Format
Chapter 6: Selecting and Building a Model
Chapter 7: Modeling – Assessment, Evaluation, Deployment, and Monitoring
Chapter 8: CLEM Scripting

Packt Publishing has also published the following books on IBM:
• IBM Cognos Business Intelligence
• IBM DB2 9.7 Advanced Application Developer Cookbook

All Packt books on IBM are published by Packt Enterprise. Packt Enterprise is a publishing division of Packt Publishing designed to serve the information needs of IT Professionals in the Enterprise space. Packt Enterprise also publishes on Microsoft, Oracle, Citrix, Java, Amazon, Google, and SAP technologies.

IBM SPSS Modeler Cookbook
Master deployment techniques

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