Advances in Big Data

Advances in Big Data

Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

Angelov, Plamen; Iliadis, Lazaros; Manolopoulos, Yannis; Roy, Asim; Vellasco, Marley

Springer International Publishing AG

10/2016

348

Mole

Inglês

9783319478975

15 a 20 dias


ebook
169,99 €

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms.
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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