Search

Categories

    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss

Filter By Price

$
-
$

Dietary Needs

Top Rated Product

product-img product-img

Modern Chair

$165.00
product-img product-img

Plastic Chair

$165.00
product-img product-img

Design Rooms

$165.00

Brands

  • Wooden
  • Chair
  • Modern
  • Fabric
  • Shoulder
  • Winter
  • Accessories
  • Dress

Welcome and thank you for visiting us. For any query call us on 0799 626 359 or Email [email protected]

Shopping Cart

Africa largest book store

Sub Total:

Search for any Title

Data Mining With Decision Trees: Theory And Applications (2nd Edition) - 2 Revised edition

By: (Author) Lior Rokach , (Author) Oded Z Maimon

Werezi Extended Catalogue
Delivery in 34 days

Ksh 18,900.00

Format: Hardback or Cased Book

ISBN-10: 981459007X

ISBN-13: 9789814590075

Edition: 2 Revised edition

Series: Series In Machine Perception And Artificial Intelligence

Publisher: World Scientific Publishing Co Pte Ltd

Imprint: World Scientific Publishing Co Pte Ltd

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 23rd, 2014

Print length: 328 Pages

Weight: 602 grams

Dimensions (height x width x thickness): 16.00 x 23.40 x 2.50 cms

Product Classification: Data mining

Choose your Location

Shipping & Delivery

Door Delivery

Delivery fee

Delivery in 34 days

  • Description

  • Reviews

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

 

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.

This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.

This book invites readers to explore the many benefits in data mining that decision trees offer:

  • Self-explanatory and easy to follow when compacted
  • Able to handle a variety of input data: nominal, numeric and textual
  • Scales well to big data
  • Able to process datasets that may have errors or missing values
  • High predictive performance for a relatively small computational effort
  • Available in many open source data mining packages over a variety of platforms
  • Useful for various tasks, such as classification, regression, clustering and feature selection

Get Data Mining With Decision Trees: Theory And Applications (2nd Edition) by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by World Scientific Publishing Co Pte Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

Customer Reviews

Based on 0 reviews

Mind, Body, & Spirit