Advances in data science : methodologies and applications / Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain

• Autore: Phillips-Wren, Gloria
• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: XVII, 333 p. : ill. ; 24 cm
• Altri autori: Esposito, Anna Jain, Lakhmi C.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in data science
• ISBN: 978-30-305-1869-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0272941
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: /sebina/repository/catalogazione/documenti/Indice - Advances in data science methodologies and applications.pdf; https://www.google.it/books/edition/Advances_in_Data_Science_Methodologies_a/v5f5DwAAQBAJ?hl=it&gbpv=0
• Serie: Intelligent Systems Reference Library Cham . -Springer ; 189