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Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing) book cover by Sanjay Chakraborty, SK Hafizul Islam, Debabrata Samanta
Hardcover

Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

by Sanjay Chakraborty, SK Hafizul Islam and Debabrata Samanta

$105.59 / copy at 25+ copies As low as $103.19 at 100+Your best volume price

Total $2,639.75

Hardcover · 196 pages Springer International Publishing · 2022

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About the book

Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Details

Publisher
Springer International Publishing
Authors
Sanjay Chakraborty, SK Hafizul Islam, Debabrata Samanta
Format
Hardcover
Published
May 11, 2022
ISBN-13
9783030930875
Pages
196
Printing
Printed on demand
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