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Convergence of big data technologies and computational intelligent techniques[electronic resource] /
纪录类型:
书目-电子资源 : Monograph/item
[NT 15000414] null:
005.7
[NT 47271] Title/Author:
Convergence of big data technologies and computational intelligent techniques/ [edited by] Govind P. Gupta.
[NT 51406] other author:
Gupta, Govind P.,
出版者:
Hershey, Pennsylvania : : IGI Global,, 2023.
面页册数:
1 online resource (233 p.)
标题:
Big data.
标题:
Computational intelligence.
标题:
Quantitative research.
ISBN:
9781668452660 (electronic bk.)
ISBN:
1668452642
ISBN:
9781668452646
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000228] null:
Chapter 1. Advent of big data in urban transportation for smart cities: current progress, trends, and future challenges -- Chapter 2. Twitter data analysis using Apache streaming -- Chapter 3. Transport data analytics with selectionof tools and techniques -- Chapter 4. Towards design of brain tumor detection framework using deep transfer learning techniques -- Chapter 5. Big data in the context of digital journalism -- Chapter 6. COVID-19 vaccination perceptions, issues, and challenges: an analysis of tweets using machine learning models -- Chapter 7. Heart disease prediction framework using soft voting-based ensemble learning techniques -- Chapter 8. IoT-based health risk prediction by collecting and analyzing HIIT data in real time using edge computing -- Chapter 9. Robust dimensionality reduction: a resistant search for the relevant information in complex data.
[NT 15000229] null:
"With rapid evolution and development of the internet-based services and applications, Big Data storage, processing and its analytics are getting huge attention so this book identifies applications of advanced computational intelligence techniques in various big data engineering and analytics problem"--
电子资源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5264-6
Convergence of big data technologies and computational intelligent techniques[electronic resource] /
Convergence of big data technologies and computational intelligent techniques
[electronic resource] /[edited by] Govind P. Gupta. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (233 p.) - Advances in computational intelligence and robotics (ACIR) book series. - Advances in computational intelligence and robotics (ACIR) book series..
Includes bibliographical references and index.
Chapter 1. Advent of big data in urban transportation for smart cities: current progress, trends, and future challenges -- Chapter 2. Twitter data analysis using Apache streaming -- Chapter 3. Transport data analytics with selectionof tools and techniques -- Chapter 4. Towards design of brain tumor detection framework using deep transfer learning techniques -- Chapter 5. Big data in the context of digital journalism -- Chapter 6. COVID-19 vaccination perceptions, issues, and challenges: an analysis of tweets using machine learning models -- Chapter 7. Heart disease prediction framework using soft voting-based ensemble learning techniques -- Chapter 8. IoT-based health risk prediction by collecting and analyzing HIIT data in real time using edge computing -- Chapter 9. Robust dimensionality reduction: a resistant search for the relevant information in complex data.
"With rapid evolution and development of the internet-based services and applications, Big Data storage, processing and its analytics are getting huge attention so this book identifies applications of advanced computational intelligence techniques in various big data engineering and analytics problem"--
ISBN: 9781668452660 (electronic bk.)Subjects--Topical Terms:
571002
Big data.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: QA76.9.B45 / C669 2023eb
Dewey Class. No.: 005.7
Convergence of big data technologies and computational intelligent techniques[electronic resource] /
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[edited by] Govind P. Gupta.
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Chapter 1. Advent of big data in urban transportation for smart cities: current progress, trends, and future challenges -- Chapter 2. Twitter data analysis using Apache streaming -- Chapter 3. Transport data analytics with selectionof tools and techniques -- Chapter 4. Towards design of brain tumor detection framework using deep transfer learning techniques -- Chapter 5. Big data in the context of digital journalism -- Chapter 6. COVID-19 vaccination perceptions, issues, and challenges: an analysis of tweets using machine learning models -- Chapter 7. Heart disease prediction framework using soft voting-based ensemble learning techniques -- Chapter 8. IoT-based health risk prediction by collecting and analyzing HIIT data in real time using edge computing -- Chapter 9. Robust dimensionality reduction: a resistant search for the relevant information in complex data.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5264-6
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