- Hardcover: 400 pages
- Publisher: Prentice Hall; 1 edition (4 Dec 1997)
- Language English
- ISBN-10: 0130950831
- ISBN-13: 978-0130950833
- Product Dimensions: 23.4 x 17.3 x 3.6 cm
- Average Customer Review: 4.5 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: 2,434,227 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
Presents both theory and techniques behind the concepts and practice of pattern recognition. CD-ROM contains a fully functional trial version of Pattern Recognition Workbench -- a powerful, easy-to-use system with the latest machine learning, neural network, and statistical algorithms. It provides a complete working environment to solve your pattern recognition problems.
From the Back Cover
9508C-2
Apply pattern recognition to find the hidden gems in your data!
Data mining technology is helping businesses everywhere to work smarter by revealing unknown patterns within existing archives. Applying the latest advances in pattern recognition software can give you a key competitive edge across all data mining applications. The tutorials and software package included in Solving Data Mining Problems through Pattern Recognition take advantage of machine learning techniques and neural networks to help you get the most out of your data. Besides explaining the most current theories, Solving Data Mining Problems through Pattern Recognition takes a practical approach to overall project development concerns.
The rigorous, multi-step method includes:
- Defining the pattern recognition problem
- Collection, preparation, and preprocessing of data
- Choosing the appropriate algorithm and tuning algorithm parameters Training, testing, and troubleshooting.
Pattern classification, estimation, and modeling are addressed using the following algorithms:
- Linear and logistic regression
- Unimodal Gaussian and Gaussian mixture
- Multilayered perceptron/backpropagation and radial basis function neural networks
- K nearest neighbors and nearest cluster
- K means clustering.
While some aspects of pattern recognition involve advanced mathematical principles, most successful projects rely on a strong element of human experience and intuition. Solving Data Mining Problems through Pattern Recognition provides a strong theoretical grounding for beginners, yet it also contains detailed models and insights into real-world problem-solving that will inspire more experienced users, be they database designers, modelers, or project leaders.
This book includes a free, 90-day trial copy of Pattern Recognition Workbench, a powerful, easy-to-use system that combines machine learning, neural networks, and statistical algorithms to help you apply pattern recognition to your data right now. The enclosed CD-ROM runs under Windows(r) 95 and Windows NT(tm).
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Customer Reviews
Most Helpful Customer Reviews
Format:Hardcover
This is a well written and interesting book on a complex topic. I especially appreciated the first four chapters, which provide a good overview of estimation and classification, and chapters 10 through 12 which describe the main algorithms, training and testing and troubleshooting.
Format:Hardcover
This was the text I've been looking for over the last year. It is organized in a very logical manner, first outlining the foundation knowledge necessary to begin understanding the data mining field. It then proceeds to outline the methods and models driving this exciting new field. My only complaint is that the CD Rom at the back requires a non-toll free phone call to get the necessary password before you can use the software, and then only for a finite period of time. But its of little significance compared to the wealth of information contained in this book for both experts and novices.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4 reviews
7 of 8 people found the following review helpful
Excellent review of data mining methods
2 Jan 1999
Format:Hardcover
This was the text I've been looking for over the last year. It is organized in a very logical manner, first outlining the foundation knowledge necessary to begin understanding the data mining field. It then proceeds to outline the methods and models driving this exciting new field. My only complaint is that the CD Rom at the back requires a non-toll free phone call to get the necessary password before you can use the software, and then only for a finite period of time. But its of little significance compared to the wealth of information contained in this book for both experts and novices.
8 of 10 people found the following review helpful
More of an advertisment than a data mining book
14 Jan 1999
Format:Hardcover
If you have any knowledge of data mining then this book is a disappointment. It seemed more of thinly veiled advertisement for the software included in the book. I can see it having value for the neophyte who might need an introduction that includes software and actual examples, but professionals should skip it.
2 of 2 people found the following review helpful
A great starting point for those interested in Data Mining
6 Jan 1999
Format:Hardcover
This is a well written and interesting book on a complex topic. I especially appreciated the first four chapters, which provide a good overview of estimation and classification, and chapters 10 through 12 which describe the main algorithms, training and testing and troubleshooting.
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