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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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)

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Table of Contents:
  • 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.

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