Guide to Big Data Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Srinivasan, S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Big Data, 26
• Θέματα: Electrical engineering.; Computer organization.; Signal processing.; Image processing.; Speech processing systems.; Big data.; Health informatics.; Mass media.; Law.; Communications Engineering, Networks.; Computer Systems Organization and Communication Networks.; Signal, Image and Speech Processing.; Big Data/Analytics.; Health Informatics.; IT Law, Media Law, Intellectual Property.
• Φυσική περιγραφή: XVII, 565 p. 205 illus., 155 illus. in color. online resource.
• ISBN: 9783319538174
• ISSN: 2197-6503 ;
• DOI: 10.1007/978-3-319-53817-4

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.