
Machine Learning in Cognitive IoT
CRC Press
1st Edition
Published on 28. May 2020
Book
Hardback
318 pages
978-0-367-35916-4 (ISBN)
Description
This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications.
Explains integration of Machine Learning in IoT for building an efficient decision support system
Covers IoT, CIoT, machine learning paradigms and models
Includes implementation of machine learning models in R
Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics
Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions
Explains integration of Machine Learning in IoT for building an efficient decision support system
Covers IoT, CIoT, machine learning paradigms and models
Includes implementation of machine learning models in R
Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics
Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Illustrations
90 s/w Abbildungen, 43 s/w Tabellen
43 Tables, black and white; 90 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
620 gr
ISBN-13
978-0-367-35916-4 (9780367359164)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Neeraj Kumar | Aaisha Makkar
Machine Learning in Cognitive IoT
E-Book
08/2020
1st Edition
CRC Press
€73.49
Available for download

Neeraj Kumar | Aaisha Makkar
Machine Learning in Cognitive IoT
E-Book
08/2020
1st Edition
CRC Press
€73.49
Available for download
Persons
Dr. Neeraj Kumar is working as Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala (Pb.), India. Prof. Neeraj is an internationally renowned researcher in the areas of VANET & CPS Smart Grid & IoT Mobile Cloud computing & Big Data and Cryptography. He has published more than 300 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley, and Taylor and Francis. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. He is member of the Cyber-Physical Systems and Security (CPSS) research group. He has research funding from DST, CSIR, UGC, and TCS. He has won best papers awards from IEEE ICC and IEEE Systems Journals 2018. He is a senior member of IEEE and is in the editorial board of various journals of repute.
Dr. Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India in 2013. She had worked as an Assistant Professor in Computer Application Department of NIT, Kurukshetra. She obtained her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering &Technology, Patiala (Punjab), India. Her research interests in data mining, web mining, algorithms, machine learning and Internet of thing. She has experience of more than 10 years in teaching and research. He has more than 10 research publications in good journals of repute.
Dr. Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India in 2013. She had worked as an Assistant Professor in Computer Application Department of NIT, Kurukshetra. She obtained her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering &Technology, Patiala (Punjab), India. Her research interests in data mining, web mining, algorithms, machine learning and Internet of thing. She has experience of more than 10 years in teaching and research. He has more than 10 research publications in good journals of repute.
Author
Thapar Inst of Engg & Tech, INDIA
Thapar Institute of Engineering & Technology, INDIA
Content
Chapter 1: Internet of Things Chapter 2: Cognitive Internet of Things Chapter 3: Data mining in IoT Chapter 4: Machine Learning Techniques Chapter 5: R Programming Chapter 6: Machine Learning Paradigms Chapter 7: Different Machine Learning Models Chapter 8: Data Processing Chapter 9: Feature Engineering and Optimization Chapter 10: Evaluation and Validation of Results Chapter 11: Solutions Chapter 12: Data Set Bibliography