IBM SPSS Modeler Cookbook: If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the ... from some of the best brains in the business. - Softcover

McCormick, Keith; Abbott, Dean; Brown, Meta S.; Khabaza, Tom; Mutchler, Scott R.

Softcover

ISBN 10: 1849685460 ISBN 13: 9781849685467

Publisher: Packt Publishing, 2013

Synopsis

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

• Go beyond mere insight and build models than you can deploy in the day to day running of your business
• Save time and effort while getting more value from your data than ever before
• Loaded with detailed step-by-step examples that show you exactly how it's done by the best in the business

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

• Use and understand the industry standard CRISP_DM process for data mining.
• Assemble data simply, quickly, and correctly using the full power of extraction, transformation, and loading (ETL) tools.
• Control the amount of time you spend organizing and formatting your data.
• Develop predictive models that stand up to the demands of real-life applications.
• Take your modeling to the next level beyond default settings and learn the tips that the experts use.
• Learn why the best model is not always the most accurate one.
• Master deployment techniques that put your discoveries to work making the most of your business' most critical resources.
• Challenge yourself with scripting for ultimate control and automation - it's easier than you think!

About this title

About the Authors

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.

Dean Abbott is the President of Abbott Analytics, Inc. in San Diego, California. He has over two decades experience in applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, customer acquisition and retention, digital behavior for web applications and mobile, customer lifetime value, survey analysis, donation solicitation and planned giving. He has developed, coded, and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions, and clustering algorithms for multiple software vendors. He is a seasoned instructor, having taught a wide range of data mining tutorials and seminars to thousands of attendees, including PAW, KDD, INFORMS, DAMA, AAAI, and IEEE conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. He also has taught both applied and hands-on data mining courses for major software vendors, including IBM SPSS Modeler, Statsoft STATISTICA, Salford System SPM, SAS Enterprise Miner, IBM PredictiveInsight, Tibco Spotfire Miner, KNIME, RapidMiner, and Megaputer Polyanalyst.

Edition details

• Publisher: Packt Publishing
• Publication date: 2013
• Language: English
• ISBN 10: 1849685460
• ISBN 13: 9781849685467
• Binding: Paperback
• Number of pages: 359