- Paperback: 224 pages
- Publisher: Prentice Hall; 1 edition (18 Sep 1997)
- Language English
- ISBN-10: 0137439806
- ISBN-13: 978-0137439805
- Product Dimensions: 23.4 x 17.8 x 1.2 cm
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Amazon Bestsellers Rank:
1,986,660 in Books (See Top 100 in Books)
- #91 in Books > Business, Finance & Law > Sales & Marketing > Database Marketing
- See Complete Table of Contents
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Product Description
Product Description
This book teaches newcomers all they need to know to profit from today's powerful data mining technologies. Discover which areas of your business can benefit from data mining; the business, social and technical issues involved; how to prevent fraud and abuse; and how to make the most of outside consultants.
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3 reviews
10 of 11 people found the following review helpful
A good starting book, a little IBM proprietary
19 Jun 1999
Format:Paperback
This is a cogent book about the topic.It is a good size for those who want to enter the field. It is also good for the fielders who, after several practical battles, want to vacate and sort out their thought for a while.
A book progressing very well. Fine logical strings threaded delicately in case contexts. Communicative, precise wording, little redundency.
Cases a little simple for savvy beginners. Relating to application is excellent idea, but applications are a little IBM proprietary. We know the field is full of choices. SAS, BusObject,.. the list goes on. Some parts look like a AS400 introductory user manual.
Obviously the writers have working experience. Not much lessons covered though. Technological infrastructures are little touched upon. No blame : tech is changing too fast.
The book shows the author has the best quality one looks for in an analyst: simple, plain words for an essentially technical topic. Should consider having a second volume.
A clear introduction to data mining algorithms and process.
3 April 1999
Format:Paperback
I found this book really useful and very simple to read. I suggest this book to executive and business people to have an overview about the data mining process and to practioners to have an idea about DM possible business applications.
2 of 13 people found the following review helpful
Excelent book, an introduction to the subject.
12 Jan 1999
Format:Paperback
Practical guide for data minig, El libro es excelente, lastima que el nombre del autor esta mal escrito en la web page, es hadjinian y no hadjnian.
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