Trends of Data Science and Applications : Theory and Practices /
This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7-10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and pra...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Studies in Computational Intelligence,
954 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7-10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, et cetera This book is helpful for the students, practitioners, researchers as well as industry professional. |
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| Physical Description: | 1 online resource (XIII, 341 pages 171 illustrations, 140 illustrations in color.) |
| ISBN: | 9789813368156 |
| ISSN: | 1860-9503 ; |
| DOI: | 10.1007/978-981-33-6815-6 |