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IBM SPSS Modeler Cookbook

IBM SPSS Modeler Cookbook

By : Keith McCormick, Abbott
4.4 (20)
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IBM SPSS Modeler Cookbook

IBM SPSS Modeler Cookbook

4.4 (20)
By: Keith McCormick, Abbott

Overview of this book

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.
Table of Contents (11 chapters)
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10
Index

Produce a project plan – ensuring a realistic timeline by Keith McCormick

Since data mining is closely affiliated with other approaches, new practitioners of data mining often surprise their colleagues when they suggest that the data mining project will take many weeks. If one is confusing it with running ad hoc reports on an already identified problem area, the timeline discussed in this section may seem surprising. On one's very first data mining project, the new data miner may not feel fully prepared themselves. This section will explore each of the CRISP-DM phases and examine some considerations for estimating how long each phase will take. In general, something in the order of 8 to 20 weeks is probably a good rule of thumb.

Business understanding

There is a general agreement among veteran data miners that novice data miners do not spend enough time on business understanding. One of the challenges during business understanding is that it involves many voices throughout the...

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