Advances in Data Science: Methodologies and Applications
Lakhmi C Jain editor Anna Esposito editor Gloria Phillips-Wren editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:27th Aug '21
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£139.99(9783030518691)
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.
“The book is useful to both the specialized researcher seeking information on specific sub-areas within Data Science or to the new-comer who seeks to get involved in Data Science. I am confident that both types of readers will benefit greatly from the book. … the editors are warmly congratulated for their superb work. Their book is highly and unreservedly recommended to professors, graduate students, practitioners and other specialists ins Data Science and to general readers … .” (George A. Tsihrintzis, Intelligent Decision Technologies, Vol. 15 (2), 2021)
ISBN: 9783030518721
Dimensions: unknown
Weight: 539g
333 pages