Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of  big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big d...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Suh, Sang C. (Επιμελητής έκδοσης), Anthony, Thomas (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03002nam a22004935i 4500
001 978-3-319-63917-8
003 DE-He213
005 20180116210049.0
007 cr nn 008mamaa
008 180116s2017 gw | s |||| 0|eng d
020 |a 9783319639178  |9 978-3-319-63917-8 
024 7 |a 10.1007/978-3-319-63917-8  |2 doi 
040 |d GrThAP 
050 4 |a QA75.5-76.95 
072 7 |a UT  |2 bicssc 
072 7 |a COM069000  |2 bisacsh 
072 7 |a COM032000  |2 bisacsh 
082 0 4 |a 005.7  |2 23 
245 1 0 |a Big Data and Visual Analytics  |h [electronic resource] /  |c edited by Sang C. Suh, Thomas Anthony. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a X, 263 p. 27 illus., 10 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Information visualization -- Data analytics -- Visual analytics -- Intelligent information systems -- Business analytics,- Virtual data machine -- Big data architecture -- Security of big data -- Big data applications -- Tensor-based computation and modeling -- High performance computing cluster -- Big data technologies. 
520 |a This book provides users with cutting edge methods and technologies in the area of  big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers  specific topics related to big data and data analytics as virtual data machine, security of  big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference. 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematics. 
650 0 |a Visualization. 
650 1 4 |a Computer Science. 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Visualization. 
700 1 |a Suh, Sang C.  |e editor. 
700 1 |a Anthony, Thomas.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319639154 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-63917-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)