Intelligent Data Analysis for COVID-19 Pandemic by M Niranjanamurthy

Regular price
Checking stock...
Regular price
Checking stock...
The feel-good place to buy books
  • Free UK delivery over £5
  • 10% off preloved books when you join +Plus
  • Buying preloved emits 46% less CO2 than new
  • Give your books a new home - sell them back to us!

Intelligent Data Analysis for COVID-19 Pandemic by M Niranjanamurthy

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

“Each article is self-contained with a detailed description of each method, background information, statistics and mathematical details, theory, and applicationAnyone looking for inspiration could find several examples and use cases of available data that can be used for insight generation. … The strength of this edited book is that the readers would become familiar with several data sources and demonstration of intelligent analysis of data that social scientist routinely collect.” (Enayet Raheem, ISCB News, iscb.info, June, 2022)
Neeraj Kumar is the former commissioner of police, Delhi, and the author of Dial D for Don: Inside Stories of CBI Missions.
SKU Unavailable
ISBN 13 9789811615733
ISBN 10 981161573X
Title Intelligent Data Analysis for COVID-19 Pandemic
Author M Niranjanamurthy
Series Algorithms For Intelligent Systems
Condition Unavailable
Binding Type Hardback
Publisher Springer Verlag, Singapore
Year published 2021-06-23
Number of pages 370
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.