Advances in Data Science: Methodologies and Applications (eBook, PDF)

Redaktion: Phillips-Wren, Gloria; Jain, Lakhmi C.; Esposito, Anna

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 333
• Erscheinungstermin: 26. August 2020
• Englisch
• ISBN-13: 9783030518707
• Artikelnr.: 60062683

Inhaltsangabe

TOC is available in MS

Rezensionen

"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)