Demystifying Graph Data Science by Pethuru Raj Division Bangalore India)
Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.-
UML for Systems Engineering
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Generative AI for Multimedia Content Processing, Security and Privacy
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The Power of Large Language Models and AI in the Digital Age
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Modelling Enterprise Architectures
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Knowledge Discovery and Data Mining
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Generative AI for Sign Language Recognition and Translation
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Managing Complexity in Software Engineering
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Semi-custom IC Design and VLSI
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Ultrascale Computing Systems
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The Digital Twin Handbook
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Matrix Factorization for Multimedia Clustering
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Trustworthy Autonomic Computing
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AIoT Technologies and Applications for Smart Environments
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Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing
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Energy Optimization and Security in Federated Learning for IoT Environments
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Big Data Recommender Systems
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Blockchains for Network Security
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Network Classification for Traffic Management
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Intelligent Distributed Video Surveillance Systems
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AI for Emerging Verticals
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Big Data and Software Defined Networks
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Security and Privacy for Big Data, Cloud Computing and Applications
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Intelligent Multimedia Technologies for Financial Risk Management
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E-learning Methodologies
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Many-Core Computing
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Big Data-Enabled Internet of Things
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Generative AI Unleashed
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Explainable Artificial Intelligence for Trustworthy Internet of Things
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Streaming Analytics
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Edge Computing
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ReRAM-based Machine Learning
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Nature-inspired Optimization Algorithms and Soft Computing
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Advanced Networking Technologies
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Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
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Engineering the Metaverse
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Personal Knowledge Graphs (PKGs)
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Trusted Platform Modules
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Explainable Artificial Intelligence (XAI)
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Earth Observation Data Analytics Using Machine and Deep Learning
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Graphical Programming Using LabVIEW
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
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Managing Internet of Things Applications across Edge and Cloud Data Centres
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Enabling Technologies for Smart Fog Computing
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Intelligent Multimedia Processing and Computer Vision
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Access Control and Security Monitoring of Multimedia Information Processing and Transmission
Pethuru 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.
| SKU | Unavailable |
| ISBN 13 | 9781839534881 |
| ISBN 10 | 1839534885 |
| Title | Demystifying Graph Data Science |
| Author | Pethuru Raj Division Bangalore India) |
| Series | Computing And Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2022-11-28 |
| Number of pages | 415 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |