1 option
Big Data Analytics : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings / edited by Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 13147
- Information Systems and Applications, incl. Internet/Web, and HCI ; 13147
- Language:
- English
- Subjects (All):
- Data mining.
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Application software.
- Data structures (Computer science).
- Information theory.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Data Structures and Information Theory.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Data Structures and Information Theory.
- Physical Description:
- 1 online resource (XIII, 355 pages) : 164 illustrations, 134 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-93620-4
- 9783030936204
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.