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Advances in big dataproceedings of t...

Angelov, Plamen.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in big dataedited by Plamen Angelov ... [et al.].
Reminder of title:	proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /
other author:	Angelov, Plamen.
Corporate Body:	International Neural Network Society.
Published:	Cham :Springer International Publishing :2017.
Description:	xvii, 348 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big dataCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-319-47898-2
ISBN:	9783319478982$q(electronic bk.)

Advances in big dataproceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /
International Neural Network Society.Conference on Big DataThessalonike, Greece)2016 :

Advances in big dataproceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /[electronic resource] :edited by Plamen Angelov ... [et al.]. - Cham :Springer International Publishing :2017. - xvii, 348 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.5292194-5357 ;. - Advances in intelligent systems and computing ;176..

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.

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.

ISBN: 9783319478982$q(electronic bk.)

Standard No.: 10.1007/978-3-319-47898-2doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Advances in big dataproceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /
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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.
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.
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