- Hardcover: 550 pages
- Publisher: Morgan Kaufmann; 1 edition (Aug 25 2000)
- Language: English
- ISBN-10: 1558604898
- ISBN-13: 978-1558604896
- Product Dimensions: 23.8 x 19 x 3 cm
- Shipping Weight: 1.2 Kg
- Average Customer Review: 3.4 out of 5 stars See all reviews (18 customer reviews)
- Amazon Bestsellers Rank: #784,776 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Review
"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group
Book Description
The Preeminent textbook and professional reference on data mining from the recognized authoirty on the subject.
Inside This Book
(Learn More)
First Sentence
This book is an introduction to what come to known as data mining and knowledge spective, where emphasis is placed on basic data mining concepts and techniques for uncovering interesting data patterns hidden in large data sets. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
This book is an introduction to what come to known as data mining and knowledge spective, where emphasis is placed on basic data mining concepts and techniques for uncovering interesting data patterns hidden in large data sets. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
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Most helpful customer reviews
5.0 out of 5 stars
Like to read it too much,
By Norraseth Chantasut (NECTEC, 112 Thailand Science Park, Thailand) - See all my reviews
This review is from: Data Mining: Concepts and Techniques (Hardcover)
This textbook explains about concepts of Data Warehousing , OLAP, and Data Mining as well. The key algorithms and theory is described such Decision Tree Learning, Neural Networks and Sequences Pattern Mining. The example is very easy to understand. Also several approaches of Text Mining, Bio Mining and Spatial Mining is introducted. So the book's content is very well
4.0 out of 5 stars
a very good book,
By A Customer
This review is from: Data Mining: Concepts and Techniques (Hardcover)
if you want to have an overview into how exactly data mining is done with a bit of practical flavor and more of the algorithmic inclination this book is for you. But i have been through a better bok so would rate it 4 instead of 5
2.0 out of 5 stars
Poorly worded. No depth,
By A Customer
This review is from: Data Mining: Concepts and Techniques (Hardcover)
Dismal notation coupled with incomplete or incoherent explanations make this book frustrating to read.The author needlessly inserts layers of abstraction, making otherwise simple concepts and formulas unnecessarily time-consuming to understand. The provided examples do make up for some of the deficiencies of the author's notation and poor wording, but not enough to make this book worth buying. The book covers many topics but does not go into sufficient depth. It's too technical for managers and not rigorous enough for technical professionals wishing to use data mining to solve real problems. If you are new to data mining, you may learn some useful overall concepts, but won't learn enough to apply them effectively. Experts should definitely look somewhere else.
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