If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business.
Key Features
Book Description
IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.
IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.
Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.
Go beyond the basics and get the full power of your data mining workbench with this practical guide.
What you will learn
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Keith McCormick Keith McCormick is an independent data miner, trainer, conference speaker, and author. He has been using statistics software tools since the early 90s, and has been conducting training since 1997. He has been data mining and using IBM SPSS Modeler since its arrival in North America in the late 90s. He is also an expert in other packages, IBM's SPSS software suite, including IBM SPSS Statistics, AMOS, and Text Mining. He blogs and reviews related books as well.
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