Trends of Data Science and Applications

Download or Read eBook Trends of Data Science and Applications PDF written by Siddharth Swarup Rautaray and published by Springer Nature. This book was released on 2021-03-21 with total page 341 pages. Available in PDF, EPUB and Kindle.
Trends of Data Science and Applications
Author :
Publisher : Springer Nature
Total Pages : 341
Release :
ISBN-10 : 9789813368156
ISBN-13 : 9813368152
Rating : 4/5 (56 Downloads)

Book Synopsis Trends of Data Science and Applications by : Siddharth Swarup Rautaray

Book excerpt: 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, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.


Trends of Data Science and Applications Related Books

Trends of Data Science and Applications
Language: en
Pages: 341
Authors: Siddharth Swarup Rautaray
Categories: Computers
Type: BOOK - Published: 2021-03-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 contri
Data Science
Language: en
Pages: 0
Authors: Pallavi Chavan
Categories: Big data
Type: BOOK - Published: 2022-07 - Publisher: Chapman & Hall/CRC

DOWNLOAD EBOOK

"The proposed book covers the topic of data science in a very comprehensive manner and synthesizes both fundamental and advanced topics of a research area that
Data Science and Social Research
Language: en
Pages: 292
Authors: N. Carlo Lauro
Categories: Social Science
Type: BOOK - Published: 2017-11-17 - Publisher: Springer

DOWNLOAD EBOOK

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data scie
Applied Data Science in Tourism
Language: en
Pages: 647
Authors: Roman Egger
Categories: Business & Economics
Type: BOOK - Published: 2022-01-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same ti
Mechanistic Data Science for STEM Education and Applications
Language: en
Pages: 287
Authors: Wing Kam Liu
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e.,