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Data Mining Techniques
Michael Berry & Gordon Linoff / Paperback / 2004 (Revised Edition) An excellent
introduction to the techniques of data mining as well as the
application of data mining to real world business problems. This is the first book that I recommend
to anyone interested in learning about data mining. |
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Intelligent
Data Analysis: An Introduction
Berthold and Hand / Hardcover / 2003 (Second Edition) The
best reference that I have found for the algorithms used in data
mining. I have been recommending this book to everyone
that I know. |
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Principles
of Data Mining
Hand, Mannila, and Smyth / Hardcover / 2001A
very good overview of the field of data mining,
starting with the fundamentals and then proceeding to a complete cross
section of the leading algorithms. The authors do a nice job
connecting the various
data mining techniques to the real world problems that they can be
used to solve. |
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The
Elements of Statistical Learning : Data Mining, Inference, and
Prediction
Hastie, Tibshirani, & Friedman / Hardcover / 2001
An exceptionally thorough text on the statistical and
machine learning algorithms used in data mining.
This is one of the two core algorithm books that I recommend.
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Building
Data Mining Applications for CRM
Berson, Smith, and Thearling / Paperback / 1999Our goal with this book was to take the discussion of data
mining beyond the technology and to focus on how it could be used to
solve real-world marketing problems. Also available in Korean
and Chinese. |
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Mastering
Data Mining
Michael Berry & Gordon Linoff / Paperback / 1999 Michael
and Gordon are two of the best data mining consultants in the
business. This book expands on their fantastic first book (Data
Mining Techniques) with a wide variety of case studies and
practical insight.
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Data Preparation for Data Mining
Dorian Pyle / Paperback / 1999Data preparation
is probably the most critical step in the process of data analysis but
unfortunately it often gets overlooked in comparison to the mining
algorithms. Pyle does a great job describing how data preparation
works and how it fits into the overall analysis process. |
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The Nature of Mathematical Modeling
Neil Gershenfeld / Hardcover / 1998A fantastic book on the
mathematics that underlie
data mining. This book covers all of the standard techniques as well as newer
ones such as genetic algorithms and neural networks. |
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Data
Mining Explained
Delmater and Hancock / Paperback / 2001
Many of
the data mining books focus on the technology rather than the
impact on the business process. This book provides a
good introduction to data mining as well as a good discussion of the business impact that can be felt throughout
an organization. |
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Mining
the Web: Transforming Customer Data
Michael Berry & Gordon Linoff / Paperback /
2002
In this book (their third), Berry and
Linoff focus on the challenge of taking web data and turning it
into actions which have a direct impact on a business. |
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Data
Mining Your Website
Jesus Mena / Paperback / 1999A nice overview of how data
mining works for web data. An excerpt,
"Mining E-Customer Behavior," is available online. |
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Neural Networks for Pattern Recognition
Christopher Bishop / Paperback / 1995Neural networks are an important data mining
technology but there are very few good references on the subject. This book is by
far the best I have seen. Besides covering the standard stuff, Bishop
addresses practical issues such as data pre-processing and feature extraction. |
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Advances in Knowledge Discovery and Data Mining
Usama Fayyad (Editor), et al / Paperback / 1996 A collection of superb
research articles on data mining, from some of the giants in the field. |
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| You might also want to look at Amazon's list of
best-selling data mining books. |