Convergence of big data technologies and computational intelligent techniques [electronic resource] / [edited by] Govind P. Gupta.
- 其他作者：
- 其他題名：
- Advances in computational intelligence and robotics (ACIR) book series.
- 出版： Hershey, Pennsylvania : IGI Global 2023.
- 叢書名： Advances in computational intelligence and robotics (ACIR) book series
- 主題： Big data. , Computational intelligence. , Quantitative research. , Electronic books.
- ISBN： 9781668452660 (electronic bk.) 、 1668452642 、 9781668452646
- URL：
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- 一般註：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. 112年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000306523 | 機讀編目格式
館藏資訊
Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
摘要註
"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"--
