These are transferable knowledge from Dean Abbott penned down to help educate everyone who seeks a little more

Books with Dean Abbott as Author or Co-Author

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst 1st Edition (Wiley, April 2014)

Learn the art and science of predictive analytics ― techniques that get results

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst shows tech-savvy business managers and data analysts how to use predictive analytics to solve practical business problems. It teaches readers the methods, principles, and techniques for conducting predictive analytics projects, from start to finish. Internationally recognized data mining and predictive analytics expert Dean Abbott provides a practical and authoritative guide to best practices for successful predictive modeling, including expert tips and tricks to avoid common pitfalls.

IBM SPSS Modeler Cookbook (Packt Publishing, 2013)

Keith McCormick, Dean Abbott, Meta S. Brown, Tom Khabazza and Scott R. Mutchler

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.

Journeys to Data Mining: Experiences from 15 Renowned Researchers (Springer, 2012)

Mohamed Medhat Gaber. Autobiographical book chapter by Dean Abbott

Easily digestible career tips for computer science students

Valuable real-world experience on how to deal with successes and failures in research

Narrative presentation by renowned data mining researchers

Journeys to Data Mining: Experiences from 15 Renowned Researchers | SpringerLink


Excellent Book! This is a very good reference for anyone needing a quick start on Modeler or someone who just needs a few pointers on how to get things done they haven't had to do in a long time. M.Brooks

M. Brooks

IBM SPSS Modeler Cookbook

This book does an excellent job of explaining the principles of of Predictive Analytics and practical example of how to apply these principals using analytic software in a general way. It definitely helped my overall understanding of the different mod

Earl Yodder


This book is amazing! The author clearly knows what he is talking about. In addition to describing the typical concepts, he actually teaches you when to use them, something not many other books do.



This groundbreaking contribution to the field of predictive analytics delivers a unique gift...The book is extremely practical. It is mostly organized around project execution steps, rather than around analytical methods, application areas, or industry verticals.

Eric Siegel


This book takes a unique, and badly needed, approach to the subject. It is a “how-to” without being a software book. Too many software instruction books focus so much on features and functions that you lose sight of the big picture. Also, too many data mining books focus solely on algorithms – often one chapter per algorithm. While many of those books are good, and necessary, there are plenty of them already.

Keith McCormick


A must for any student or predictive analytics professional. The text dives into the theory needed to implement predictive analytics using your preferred software suite.



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