Advances in Big Data :  Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece / 
edited by Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco. 
 - 1st ed. 2017. 
 - 1 online resource (XVII, 348 pages 101 illustrations) 
 - Advances in Intelligent Systems and Computing,  529  2194-5357 ; .
 - Advances in Intelligent Systems and Computing,  529 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319478982 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-47898-2  doi 
<br/><br/><label>LCCN: </label>2019762531 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Computational intelligence.<br/>Data mining.<br/>Computational Intelligence.<br/>Artificial Intelligence.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>Dewey Class. No.: </label>006.3