Central Library

Advances in Big Data (Record no. 77243)

000 -LEADER
fixed length control field 04192nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-47898-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801215221.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161007s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319478982
-- 978-3-319-47898-2
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Advances in Big Data
Sub Title Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 348 p. 101 illus.
490 1# - SERIES STATEMENT
Series statement Advances in Intelligent Systems and Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Angelov, Plamen.
700 1# - AUTHOR 2
Author 2 Manolopoulos, Yannis.
700 1# - AUTHOR 2
Author 2 Iliadis, Lazaros.
700 1# - AUTHOR 2
Author 2 Roy, Asim.
700 1# - AUTHOR 2
Author 2 Vellasco, Marley.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-47898-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
700 1# - AUTHOR 2
-- (orcid)0000-0002-5770-934X
-- https://orcid.org/0000-0002-5770-934X
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2194-5365 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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