Description |
1 online resource : illustrations (chiefly color) |
Series |
Advances in intelligent systems and computing, 2194-5357 ; 529 |
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Advances in intelligent systems and computing ; 529.
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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 |
Summary |
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 |
Notes |
International conference proceedings |
Bibliography |
Includes bibliographical references and index |
Notes |
Online resource, title from PDF title page (EBSCO, viewed October 26, 2016) |
Subject |
Big data -- Congresses
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Data mining.
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Artificial intelligence.
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COMPUTERS -- Database Management -- General.
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Big data
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Angelov, Plamen P., editor.
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Manolopoulos, Yannis, 1957- editor.
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Iliadis, Lazaros S., editor.
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Roy, Asim, editor.
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Vellasco, Marley Maria B. R., editor.
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ISBN |
9783319478982 |
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3319478982 |
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