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...
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Corporate Author: | |
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Other Authors: | , , , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2017]
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Series: | Advances in intelligent systems and computing ;
529. |
Subjects: | |
ISBN: | 9783319478982 9783319478975 |
Physical Description: | 1 online resource : illustrations (chiefly color) |
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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 |y Plný text |
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