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OverviewFull Product DetailsAuthor: Pethuru Raj (Chief Architect and Vice President, Reliance Jio Platforms Ltd., Site Reliability Engineering (SRE) Division, Bangalore, India) , Abhishek Kumar (Assistant Professor, Chitkara University, Chitkara University Research and Innovation Network (CURIN), India) , Vicente García Díaz (Associate Professor, University of Oviedo, Department of Computer Science, Spain) , Nachamai Muthuraman (Data Scientist, Siemens Healthcare Pvt. Ltd, Bangalore, India)Publisher: Institution of Engineering and Technology Imprint: Institution of Engineering and Technology ISBN: 9781839534881ISBN 10: 1839534885 Pages: 415 Publication Date: 28 November 2022 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsChapter 1: Toward graph data science Chapter 2: Data science: the Artificial Intelligence (AI) algorithms-inspired use cases Chapter 3: Accelerating graph analytics Chapter 4: Introduction to IoT data analytics and its use cases Chapter 5: Demystifying digital transformation technologies in healthcare Chapter 6: Semantic knowledge graph technologies in data science Chapter 7: Why graph analytics? Chapter 8: Graph technology: a detailed study of trending techniques and technologies of graph analytics Chapter 9: A holistic analysis to identify the efficiency of data growth using a standardized method of non-functional requirements in graph applications Chapter 10: Roadmap of integrated data analytics - practices, business strategies and approaches Chapter 11: Introduction to graph analytics Chapter 12: A study of graph analytics for massive datasets Chapter 13: Demystifying graph AI Chapter 14: Application of graph data science and graph databases in major industries Chapter 15: Graph data science for cybersecurity Chapter 16: The machine learning algorithms for data science applicationsReviewsAuthor InformationPethuru Raj is the chief architect and vice president in the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the Internet of Things (IoT), artificial intelligence (AI), big and fast data analytics, blockchain, digital twins, cloud-native computing, edge & fog clouds, reliability engineering, microservices architecture (MSA), and event-driven architecture (EDA). He has authored and edited 20 technology books. He holds a CSIR-sponsored PhD degree from Anna University, India. Abhishek Kumar is an assistant professor at Chitkara University Research and Innovation Network (CURIN), Chitkara University, India. His research areas include artificial intelligence, image processing, computer vision, data mining, and machine learning. He has been session chair and keynote speaker at many international conferences and webinars in India and abroad. He has authored, co-authored, and edited several books. He is a senior member of the IEEE, a member of IAENG (International Association of Engineers), and an associate member of IRED (Institute of Research Engineers and Doctors). He holds a PhD degree in computer science from the University of Madras, India. Vicente García Díaz is an associate professor in the Department of Computer Science at the University of Oviedo, Spain. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics, and eLearning. He is a managing editor of the International Journal of Interactive Multimedia and Artificial Intelligence and an associate editor of IEEE Access. He is a member of IEEE. He received his PhD degree in computer science from the University of Oviedo. Nachamai Muthuraman is a data scientist in the strategy team at Siemens Healthcare Pvt. Ltd, Bangalore, India. She works on artificial intelligence, big data analytics, and deep learning. She has gained in-depth proficiency in model building particularly in computer vision, pattern recognition, cognitive modeling, convolution neural networks, and data representation. She has chaired numerous sessions and conferences and been a part of many IT workshops/technical talks/panel discussions both in academics and industry. She holds a PhD in artificial intelligence from Mother Teresa Women's University, India. Tab Content 6Author Website:Countries AvailableAll regions |