Data Mining: Concepts, Models and Techniques
Author:   Florin Gorunescu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
Volume:   12
ISBN:  

9783642267734


Pages:   360
Publication Date:   29 May 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $448.77 Quantity:  
Add to Cart

Share |

Data Mining: Concepts, Models and Techniques


Add your own review!

Overview

Full Product Details

Author:   Florin Gorunescu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Volume:   12
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.569kg
ISBN:  

9783642267734


ISBN 10:   3642267734
Pages:   360
Publication Date:   29 May 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Data Mining.- The ”data-mine”.- Exploratory data analysis.- Classification and decision trees.- Data mining techniques and models.- Classification performance evaluation.

Reviews

From the reviews: “Provides a gentle introduction to a fascinating and emerging research area. … provide an easy-to-read ‘compass’ to lead readers though the basic principles. … material presented is comprehensive and covers every aspect of data mining. … Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations … . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students … . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students.” (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)


From the reviews: Provides a gentle introduction to a fascinating and emerging research area. ... provide an easy-to-read 'compass' to lead readers though the basic principles. ... material presented is comprehensive and covers every aspect of data mining. ... Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations ... . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students ... . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students. (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now