The biggest added value of the book, and what makes it a unique resource in the field, are the tutorials. Several applications are detailed: aviation safety, unsatisfied customers, credit scoring and process control among others. Whatever your field of application is, you will find useful examples in the book. Even if the case studies aren’t in your field of interest, reading them takes you to an amazing journey in the world of analytics.
To be noted the interesting chapters about text mining and fraud detection. In the last part of the book, five chapters provide expert advices to both beginners and experienced data miners. The chapter “Top 10 Data Mining Mistakes” is remarkable. To conclude, this book is about applying data mining, rather than programming it. It gives excellent examples of enterprise applications in analytics.