Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2017
Genre:	Naturwissensch., Medizin, Technik
	B / Big Data / Big Data/Analytics / Business mathematics & systems / Communications Engineering, Networks / Computer Engineering and Networks / Computer networking & communications / Computer organization / Computer Systems Organization and Communication Networks / Digital and Analog Signal Processing / Electrical Engineering / engineering / Entertainment & media law / Health Informatics / Image processing / Imaging systems & technology / Information technology# general issues / IT in Business / IT Law, Media Law, Intellectual Property / Law / Mass Media / Medical equipment & techniques / Signal Processing / Signal, Image and Speech Processing / Speech processing systems mehr...
ISBN:	9783319538167
EAN-Code:	9783319538167
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#26 - Studies in Big Data
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1300 gr
Seiten:	565
Illustration:	XVII, 565 p. 205 illus., 155 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.