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Title: Classification and Regression Trees by Leo Breiman ISBN: 0-412-04841-8 Publisher: Kluwer Academic Publishers Pub. Date: 01 January, 1984 Format: Paperback Volumes: 1 List Price(USD): $54.95 |
Average Customer Rating: 4.75 (4 reviews)
Rating: 5
Summary: the book that made tree classification rigorous
Comment: In 1984 Brieman, Olshen, Friedman and Stone published this book and produced a software product called CART that made tree classification popular. These algorithms were very useful in medical applications and the book illustrated some simple success stories particularly ones from Richard Olshen's experience working in the Medical School at UC San Diego. Olshen and Gordon did some of the work on the asymptotic theory of recursive partitioning that made the methodology credible to the statistical research community. The methods began to be applied to pattern recognition problems and also to the development of expert systems. Today data miners use these tools.
These ideas goes back a lot farther than these authors. However, previous attempts at recursive partitioning algorithms tended to grow trees with too many terminal nodes. These authors introduced two important ideas. One was to grow the trees overly long and then prune them back. The second was to continually use cross-validation to evaluate the trees.
This book is still very valuable 17 years after it was first published. It is also readible by general audiences for the most part. It now stands as a classic text on the subject of classification and regression trees.
Rating: 5
Summary: A must have for all serious decision trees researchers
Comment: 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 It's a bit outdated by now as trees methodology has advanced much with the invention of boosting, bagging, and arcing.
Rating: 5
Summary: Instructive and Powerful
Comment: The book was a very good introduction to Classification andRegression Trees, and coupled with the software ( ) make for apowerful approach to solving traditional classification problems.
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Title: The Elements of Statistical Learning by T. Hastie, R. Tibshirani, J. H. Friedman ISBN: 0387952845 Publisher: Springer Verlag Pub. Date: 09 August, 2001 List Price(USD): $79.95 |
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Title: Recursive Partitioning in the Health Sciences (Statistics for Biology and Health) by Heping Zhang, Burton Singer ISBN: 0387986715 Publisher: Springer Verlag Pub. Date: April, 1999 List Price(USD): $79.95 |
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Title: Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand, Heikki Mannila, Padhraic Smyth ISBN: 026208290X Publisher: MIT Press Pub. Date: 01 August, 2001 List Price(USD): $58.00 |
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Title: Monte Carlo Strategies in Scientific Computing by Jun S. Liu ISBN: 0387952306 Publisher: Springer Verlag Pub. Date: 26 June, 2001 List Price(USD): $74.95 |
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Title: C4:5:programs for Machine Learning by J. Quinlan ISBN: 1558602380 Publisher: Morgan Kaufmann Pub. Date: 15 January, 1993 List Price(USD): $69.95 |
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