Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases
Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases
edited by Pethuru Raj, Abhishek Kumar, Vicente García Díaz and Nachamai Muthuraman
The Institution of Engineering and Technology, 2022 eISBN: 978-1-83953-489-8 | Cloth: 978-1-83953-488-1
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data.
TABLE OF CONTENTS
Chapter 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 applications