Advances in Data Science: Methodologies and Applications

Advances in Data Science: Methodologies and Applications

Author
Gloria Phillips-WrenAnna EspositoLakhmi C. Jain
Publisher
Springer Internationa
Language
English
Year
2021
Page
333
ISBN
9783030518707,9780321321367
File Type
epub
File Size
51.5 MiB

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.    

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