Advances in big data : proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

• 作者： International Neural Network Society. Conference on Big Data (2nd : 2016 : Thessalonike, Greece)
• 其他作者：
  • Angelov, Plamen, editor.
  • Manolopoulos, Yannis, editor.
  • Iliadis, Lazaros, editor.
  • Roy, Asim, editor.
  • Vellasco, Marley, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Advances in intelligent systems and computing ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advances in intelligent systems and computing,volume 529
• 主題： Big data--Congresses. , Engineering. , Computational Intelligence. , Data Mining and Knowledge Discovery. , Artificial Intelligence (incl. Robotics)
• ISBN： 9783319478982 (electronic bk.) 、 9783319478975 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
• More
• 摘要註: 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.
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