Intelligent Data Engineering and Automated Learning IDEAL 2014 is popular PDF and ePub book, written by Emilio Corchado in 2014-08-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Intelligent Data Engineering and Automated Learning IDEAL 2014 can be Read Online from any device for your convenience.

Intelligent Data Engineering and Automated Learning IDEAL 2014 Book PDF Summary

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Detail Book of Intelligent Data Engineering and Automated Learning IDEAL 2014 PDF

Intelligent Data Engineering and Automated Learning    IDEAL 2014
  • Author : Emilio Corchado
  • Release : 13 August 2014
  • Publisher : Springer
  • ISBN : 9783319108407
  • Genre : Computers
  • Total Page : 524 pages
  • Language : English
  • PDF File Size : 20,9 Mb

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Intelligent Data Engineering and Automated Learning IDEAL 2021

Intelligent Data Engineering and Automated Learning     IDEAL 2021 Author : Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento
Publisher : Springer Nature
File Size : 34,7 Mb
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