Data Analytics Using Machine Learning Techniques on Cloud Platforms

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries.

List of contents

Preface
Author biography
Introduction
1. Data Analytics: An Overview 2. Data Analytics: Tools and Technologies 3. Data Analytics: Statistical Approach 4. Supervised and Unsupervised Methods of Machine Learning used in Data Analytics 5. Opportunities and Challenges for Data Analytics Integrated with Machine Learning 6. Cloud Computing: A Change in the IT Infrastructure Landscape 7. Redefining Data Analytics with Machine Learning and Cloud 8. Data Analytics and Cloud together: A powerful combination for E-commerce and Supply Chain logistics 9. Data Analytics, Machine Learning, and Cloud Together: A Powerful Combination for Healthcare & Education 10. Security and Privacy issues for data analytics using machine learning in cloud computing 11. Future Trends for ML-Based Data Analytics in the Cloud

About the author

Dr. Seema Rawat
Professor | AI & Data Science | Innovation & Entrepreneurship
Dr. Seema Rawat is a Professor at Amity University, Uttar Pradesh, specializing in Artificial Intelligence, Data Science, and Cloud Computing. A Senior IEEE Member and Microsoft Certified Application Developer (MCAD), she has published 70+ research papers, authored books with prominent publishers, and holds 2 Australian and 22 Indian patents.
She is the Vice President of the Uttar Pradesh Entrepreneurship Council at WICCI, a Technical Advisor, and an Angel Investor & Jury Member for IIT Mumbai, IIT Delhi, NASSCOM, and MSME initiatives. Recognized with the Faculty Innovation Excellence Award 2019 by DST, Government of India, she actively contributes to AI research, innovation, and entrepreneurship.
Dr. Neelu J. Ahuja
Professor & Associate Dean (Academics), School of Computer Science, UPES, Dehradun, Uttarakhand, India
Dr. Neelu Jyothi Ahuja is a Professor and Associate Dean (Academics) at the School of Computer Science, UPES, Dehradun. She earned her PhD in 2010, focusing on developing a rule-based expert system for seismic data interpretation. With 24+ years of experience in teaching, research, and project development, she has led numerous AI and machine learning-driven projects addressing real-world challenges.
From 2010 to 2017, she headed the Computing Research Institute, fostering interdisciplinary research. She has successfully delivered R&D projects worth over ¿1.5 crore, funded by the Department of Science and Technology (DST), GOI. Her current research focuses on AI-based tutoring tools for learning disabilities and an AI-driven snake trapper. She has supervised 10 PhD scholars and is currently guiding five more.
Dr. Ahuja has received prestigious recognitions, including the Himayan Nari Sakhti Award (2020), IGEN Women Achievers Award (2021), Leading Women Researcher Award (2022), and a research felicitation by UCOST (2022). She has been an invited speaker at national and international forums and serves on key committees such as WHO's Promotion of Assistive Products and DST's Expert Committee for CORE projects. She has also chaired conference sessions and various academic panels.
Her research interests include Machine Learning, Intelligent Tutoring Systems, AI, Expert Systems, ICT, and Object-Oriented Development. She is an active member of IEEE, ACM, and ACM-Women. Passionate about innovative teaching and student engagement, she emphasizes holistic learning beyond classroom boundaries.
Dr. Avita Katal
Assistant Professor (Selection Grade) and Program Leader, School of Computer Science, UPES, Dehradun, Uttarakhand, India
Dr. Avita Katal is a highly regarded academic and researcher in the fields of Cloud Computing, Internet of Things (IoT), and Artificial Intelligence. She holds a Ph.D. in the domain of Cloud Computing, has completed her M.Tech and B.E. in Computer Science Engineering. Dr. Avita Katal is currently an Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum and Energy Studies (UPES) in Dehradun, Uttarakhand, India. She serves as the Program Leader for the B.Tech program in Computer Science & Engineering with specialization in Cloud Computing and Virtualization Technologies. Dr. Avita Katal holds a Postgraduate Certificate in Academic Practice (PGCAP), enhancing her educational expertise. With over a decade of research experience, Dr. Katal has contributed significantly to the development of advanced algorithms and systems in cloud computing environments, with particular focus on optimization techniques, resource management, and cloud security.
Dr. Katal has published extensively in reputed international journals and conferences, where her work has been recognized for its innovation and practical applications. She also serves as a reviewer for numerous prestigious journals and conferences in her field, demonstrating her leadership and expertise in cloud computing, IoT, and AI. Her ongoing research aims to bridge the gap between theoretical advancements and their implementation in real-world cloud infrastructures, particularly in the context of scalability, reliability, and efficiency.
Dr. Praveen Kumar
Director and Professor in Astana IT University, Astana, Kazakhstan
Dr. Praveen Kumar received his PhD and M.Tech in Computer Science and Engineering. Currently he is working as Director and Professor in Astana IT University, Astana, Kazakhstan. He has more than 18+ years' experience in teaching and research. He has been awarded as Best PhD thesis, Best Researcher award and Fellow Member of Indian Institute of Machine Learning for outstanding contribution in Artificial Intelligence & Machine Learning, recognized by Govt. of West Bengal, India. His areas of interest include big data Analytics, Data mining, Machine learning etc.
He has to his credit 10 Patents/Copyright and published more than 140+ research paper in International Journals and Conferences (Scopus Indexed) with Scopus H-Index 16. He is supervising 05 PhD Research Scholar in area of AI, Big Data Analytics and Data mining. He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agrasen college of Delhi University, Duy Tan University Vietnam, ECE Paris, France etc. He has been associated with many conferences throughout the world as TPC member and session chair etc.
He has visited various countries for various purposes like Uzbekistan, Tokyo Japan, LONDON UK, Paris France, Da Nang, Vietnam Dubai, Russia and Kazakhstan.He is a Senior member of IEEE, lifetime member of IETE, member of ACM, and member of IET(UK) and other renowned technical societies. He is associated with Corporates, and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida, IVRguru, MyDigital360 etc.
Prof. (Dr.) Shabana Urooj
Professor, College of Engineering, Princess Nourah Bint Abdulrahman University
Prof. (Dr.) Shabana Urooj (Senior Member, IEEE) presently working as Full Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh Saudi Arabia. Dr. Urooj is persistently contributing for the technical and professional development of society. She has received the bachelor's in electrical engineering and the master's degree in electrical engineering (Instrumentation and Control) from Aligarh Muslim University, India. She obtained her doctorate degree from Jamia Millia Islamia (A Central University), Delhi, India. She has served industry for three years and teaching organizations for more than twenty years.
She has authored and co-authored more than 250 research articles, which are published in high quality international journals, reputed conference proceedings and quality books. She has successfully completed several editorial responsibilities for reputable journals and several quality publishers and proceedings. She is presently contributing as Associate Editor in Frontiers in Energy Research. She has served as Associate Editor of reputed journal viz. IEEE Sensors Journal in the past.
She was a recipient of the Springer's Excellence in Teaching and Research Award, the American Ceramic Society's Young Professional Award, the IEEE's Region 10 Award for outstanding contribution in Educational Activities, Leadership Excellence Women's Award in University Professor category (Middle East), Research Excellence Award for quality publishing/authorship from Princess Nourah University and several other best paper presentation awards.
Dr. Urooj is serving as an active volunteer of Institute of Electrical & Electronics Engineering-IEEE in various capacities. She is the Chairperson of Education Society Chapter of the IEEE Saudi Arabia Section. She has served IEEE Delhi Section, India in various potential positions for about a decade.

Product details

• Authors: Neelu Jyothi Ahuja, Neelu Jyoti Ahuja, Avita Katal, Praveen Kumar, Seema Rawat, Seema (Amity University Tashkent Rawat, Shabana Urooj
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 23.09.2025
• EAN: 9781032491462
• ISBN: 978-1-0-3249146-2
• No. of pages: 200
• Subjects: Humanities, art, music > Linguistics and literary studies > General and comparative linguistics; Software Engineering, Data Mining, Artificial Intelligence, COMPUTERS / Computer Science, COMPUTERS / Programming / Games, COMPUTERS / Computer Engineering, Computer security, Coding theory & cryptology, Information technology: general issues, Automatic control engineering, Computational Linguistics, Programming & scripting languages: general, Information technology: general topics, Programming and scripting languages: general, Coding theory and cryptology, COMPUTERS / Distributed Systems / Cloud Computing, Computational and corpus linguistics, COMPUTERS / Blockchain