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Book Synopsis

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.

The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.


Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I

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    A Paperback by Zhen Cui, Jinshan Pan, Shanshan Zhang

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      View other formats and editions of Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I by Zhen Cui

      Book details

      Publisher Springer Nature Switzerland AG
      Published 29 November 2019
      ISBN-13 9783030361884
      978-3030361884
      ISBN-10 3030361888
      Also in:
      Computing Artificial intelligence (AI) Computer vision Data mining

      Description

      Book Synopsis

      The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.

      The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.


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