Advances in big data : proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspir...

Full description

Saved in:
Bibliographic Details
Corporate Author International Neural Network Society. Conference on Big Data
Other Authors Angelov, Plamen P. (Editor), Manolopoulos, Yannis, 1957- (Editor), Iliadis, Lazaros S. (Editor), Roy, Asim (Editor), Vellasco, Marley Maria B. R. (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham : Springer, [2017]
SeriesAdvances in intelligent systems and computing ; 529.
Subjects
Big data > Congresses.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319478982
9783319478975
ISSN2194-5357 ;
Physical Description1 online resource : illustrations (chiefly color)

Cover

LEADER 00000cam a2200000Ii 4500
001 99473
003 CZ-ZlUTB
005 20251008111951.0
006 m o d
007 cr cnu---unuuu
008 161024s2017 sz a ob 101 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d GW5XE  |d OCLCO  |d AZU  |d IDEBK  |d YDX  |d OCLCF  |d COO  |d UAB  |d UPM  |d IOG  |d VT2  |d UWO  |d OHI  |d ESU  |d JBG  |d IAD  |d ICW  |d ICN  |d OTZ  |d OCLCQ  |d U3W  |d CAUOI  |d KSU  |d WYU  |d UKMGB  |d OCLCQ  |d ERF  |d UKBTH 
020 |a 9783319478982  |q (electronic bk.) 
020 |z 9783319478975 
024 7 |a 10.1007/978-3-319-47898-2  |2 doi 
035 |a (OCoLC)961117187  |z (OCoLC)962390607  |z (OCoLC)974651773  |z (OCoLC)981095209  |z (OCoLC)1005810660  |z (OCoLC)1048157101  |z (OCoLC)1066590686  |z (OCoLC)1086561480  |z (OCoLC)1112548631  |z (OCoLC)1112846735  |z (OCoLC)1113044754 
110 2 |a International Neural Network Society.  |b Conference on Big Data  |n (2nd :  |d 2016 :  |c Thessalonike, Greece) 
245 1 0 |a Advances in big data :  |b proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /  |c Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, editors. 
264 1 |a Cham :  |b Springer,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource :  |b illustrations (chiefly color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v 529 
500 |a International conference proceedings. 
504 |a Includes bibliographical references and index. 
505 0 |a Predicting human behavior based on web search activity: Greek referendum of 2015 -- Compact Video Description and Representation for Automated Summarization of Human Activities -- Attribute Learning for Network Intrusion Detection -- A Fast Deep Convolutional Neural Network for face detection in Big Visual Data -- Learning Symbols by Neural Network -- Designing HMMs models in the age of Big Data -- Extended Formulations for Online Action Selection on Big Action Sets -- Multi-Task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports -- An infrastructure and approach for infering knowledge over Big Data in the Vehicle Insurance Industry -- Unified Retrieval Model of Big Data -- Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23-25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Big data  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Angelov, Plamen P.,  |e editor. 
700 1 |a Manolopoulos, Yannis,  |d 1957-  |e editor. 
700 1 |a Iliadis, Lazaros S.,  |e editor. 
700 1 |a Roy, Asim,  |e editor. 
700 1 |a Vellasco, Marley Maria B. R.,  |e editor. 
776 0 8 |i Print version:  |t Advances in big data.  |d Cham : Springer, [2017]  |z 9783319478975  |w (OCoLC)961100816 
830 0 |a Advances in intelligent systems and computing ;  |v 529. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-47898-2 
992 |c NTK-SpringerENG 
999 |c 99473  |d 99473 
993 |x NEPOSILAT  |y EIZ 

Similar Items