Data Mining deals with discovering hidden knowlege, unexpected patterns.It is currently regarded as the key element of a much more involved process called knowledge discovery. Setting up a data mining environment is not a trivial task.This book aims to provide essential insights and guidelines to help you make the right decisions when setting up a data mining environment.It deals with the following questions What is Data Mining? Which techniques are suitable for my data? How do I set up a data mining environment? How do I justify the costs?
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Book Description
Editorial Reviews
From the Back Cover
Data Mining deals with discovering hidden knowlege, unexpected patterns and rules in large databases. It can bring significant gains to organizations, for example, through better targeted marketing and enhanced internal performance. If you have large data sets (for example, large quantities of financial data, extensive customer databases or sales records) you can benefit from this newly emerging field. But setting up a data mining environment is not a trivial task. The long-term goal must be to create a self-learning organization that makes optimal use of the information it generates.
This is the first book to offer a comprehensive introduction to data mining. Its aim is to provide essential insights and guidelines to help you make the right decisions when setting up a data mining environment.
It offers answers to questions such as:
- What is Data Mining?
- Which techniques are suitable for my data?
- How do I set up a data mining environment?
- How do I justify the costs?
The whole data mining process, including data selection, cleaning, coding, different pattern recognition techniques and reporting, is illustrated by means of an extensive case study and numerous answers.
Audience- General management and IT managers
0201403803B04062001
About the Author
Peter Adriaans is a director of Syllogic, where he is responsible for the development of tools for the management of client/server systems and databases. The basis for Syllogic's activities is the intergration of artificial intelligence techniques, machine learning, object orientation and database management systems.
Dolf Zantinge has broad experience setting up large client/server projects. He is a director of Syllogic. The basis for Syllogic's activities is the intergration of artificial intelligence techniques, machine learning, object orientation and database management systems.
0201403803AB04062001
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Most Helpful Customer Reviews
6 of 7 people found the following review helpful:
3.0 out of 5 stars
Good for starters,
By A Customer
This review is from: Data Mining (Paperback)
This book was good for people who do not know a great deal about data minning. It does not have enough information for people who are involved within this field.
3 of 4 people found the following review helpful:
3.0 out of 5 stars
An easy read,
By
This review is from: Data Mining (Paperback)
This text is more or less a "popular" introduction to data mining. It is well worth reading and it is well written, but don't expect to become an expert with just this book as a base!This might be a good book for someone who is either contemplating a career move into this area, or for someone who is professionally affected by data mining and wants a "quick and dirty" as to what data mining can do and what it can't.
4.0 out of 5 stars
Not technical but good overview of data mining,
By
This review is from: Data Mining (Paperback)
Data Mining by Pieter Adriaans and Dolf Zantinge is a very good management overview of data mining techniques. Data Mining is an old book but the technical overviews still stand true.
If you are looking for a technical book this is not the book for you. If you are looking to gain a little knowledge about some basic data mining techniques this book might give you want you are looking for.
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