Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics
Author:   Dan A. Simovici ,  Chaabane Djeraba
Publisher:   Springer London Ltd
Edition:   1st ed. Softcover of orig. ed. 2008
ISBN:  

9781849967518


Pages:   615
Publication Date:   22 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $340.56 Quantity:  
Add to Cart

Share |

Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics


Add your own review!

Overview

Full Product Details

Author:   Dan A. Simovici ,  Chaabane Djeraba
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   1st ed. Softcover of orig. ed. 2008
Dimensions:   Width: 15.60cm , Height: 3.20cm , Length: 23.40cm
Weight:   0.870kg
ISBN:  

9781849967518


ISBN 10:   1849967512
Pages:   615
Publication Date:   22 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Set Theory.- Sets, Relations, and Functions.- Algebras.- Graphs and Hypergraphs.- Partial Orders.- Partially Ordered Sets.- Lattices and Boolean Algebras.- Topologies and Measures.- Frequent Item Sets and Association Rules.- Applications to Databases and Data Mining.- Rough Sets.- Metric Spaces.- Dissimilarities, Metrics, and Ultrametrics.- Topologies and Measures on Metric Spaces.- Dimensions of Metric Spaces.- Clustering.- Combinatorics.- Combinatorics.- The Vapnik-Chervonenkis Dimension.

Reviews

From the reviews: The book is organized into four parts, with a total of 15 chapters. Each chapter ! offers numerous exercises and references for further reading. ! Overall, Simovici and Djeraba's presentation of both the theoretical grounds and the practical aspects of the various data mining methodologies is good. ! The book is intended for readers who have a data mining background ! . It will help this audience to improve their knowledge of how different data mining strategies operate from a mathematical standpoint. (Aris Gkoulalas-Divanis, ACM Computing Reviews, February, 2009)


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