Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13167)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): BDA: International Conference on Big Data Analytics
Conference proceedings info: BDA 2021.
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Table of contents (20 papers)
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Front Matter
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Data Science: Systems
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Front Matter
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Data Science: Architectures
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Front Matter
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Big Data Analytics in Domain-Specific Systems
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Front Matter
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Information Interchange of Web Data Resources
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Front Matter
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About this book
The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
Keywords
- artificial intelligence
- Collaborative and Social Computing Systems
- computer security
- computer vision
- correlation analysis
- data mining
- databases
- digital storage
- Document representation
- machine learning
- Middleware for Databases
- network protocols
- software engineering
- Specialized Information retrieval
- Web Applications
- Web Data Description Languages
- Web Interfaces
- Web Searching and Information Discovery
Editors and Affiliations
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National Institute of Technology, Delhi, India
Shelly Sachdeva
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University of Aizu, Aizu-wakamatsu city, Japan
Yutaka Watanobe, Subhash Bhalla
Bibliographic Information
Book Title: Big-Data-Analytics in Astronomy, Science, and Engineering
Book Subtitle: 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings
Editors: Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-96600-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-96599-0Published: 18 February 2022
eBook ISBN: 978-3-030-96600-3Published: 17 February 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 279
Number of Illustrations: 22 b/w illustrations, 101 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computer Systems Organization and Communication Networks, Information Systems Applications (incl. Internet), Computer Applications, Machine Learning