Data Classification and Incremental Clustering in Data Mining and Machine Learning (1st ed. 2022) (EAI/Springer Innovations in Communication and Computing)

Synopsis

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.

Copyright:

2022

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783030930882

Related ISBNs:

9783030930875

Publisher:

Springer International Publishing

Date of Addition:

06/11/22

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Art and Architecture, Computers and Internet, Technology, Communication

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.