A good introduction to classification and regression trees with a variety of examples. You need never regress again! Many will find some of the technical topics difficult but then I found the statistical grounding to be rewarding in the end. My only complaint is that the book is near worthless to practitioners like myself without software which is a little hard to find and then pricey.
Among the best Machine Learning Books I read so far. Researchers familiar with machine learning and tree based approaches will read the first three chapters in no time. Many examples and applications are given. Basic tree properties are well explained in a formal and informal way. Even in 2013 It is inspiring for conducting useful simulation studies.
This book is a must-have for all serious decision trees researchers. It explains the underlying algorithms of classification and regression trees methods in details. It's not for beginners though. It's a bit outdated by now as trees methodology has advanced much with the invention of boosting, bagging, and arcing.