The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.

Key Features

Follows an algorithmic approach for data analysis in machine learning
Introduces machine learning methods in applications
Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics
Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets
Case studies are covered relating to human health, transportation and Internet applications

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Yes, you can access Applied Machine Learning for Smart Data Analysis by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2019

ISBN

9780429804564

Edition

Topic

Computer Science

Subtopic

Data Mining

Index

Computer Science

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Editors
List of Contributors
Section I: Machine Learning
Section II: Machine Learning in Data Mining
Section III: Machine Learning in IoT
Section IV: Machine Learning in Security
Index