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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Angelov, Plamen (Editör), Manolopoulos, Yannis (Editör), Iliadis, Lazaros (Editör), Roy, Asim (Editör), Vellasco, Marley (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Advances in Intelligent Systems and Computing, 529
Konular:
Computational intelligence.
Data mining.
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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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