Intelligent Data Engineering And Automated Learning IDEAL 2020

Intelligent Data Engineering and Automated Learning     IDEAL 2020
Publisher Springer
Release Date
Category Computers
Total Pages 624
ISBN 3030623645
Rating 4/5 from 21 reviews
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This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Intelligent Data Engineering and Automated Learning     IDEAL 2020
  • Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
  • Publisher : Springer
  • Release Date : 2020-10-30

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest

GET BOOK
Intelligent Data Engineering and Automated Learning     IDEAL 2020
  • Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
  • Publisher : Springer
  • Release Date : 2020-10-30

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest

GET BOOK
Intelligent Data Engineering and Automated Learning     IDEAL 2020
  • Author : Cesar Analide
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Intelligent Data Engineering and Automated Learning IDEAL 2020 written by Cesar Analide, published by Springer Nature which was released on . Download full Intelligent Data Engineering and Automated Learning IDEAL 2020 Books now! Available in PDF, ePub and Kindle.

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Intelligent Data Engineering and Automated Learning     IDEAL 2020
  • Author : Cesar Analide
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Intelligent Data Engineering and Automated Learning IDEAL 2020 written by Cesar Analide, published by Springer Nature which was released on . Download full Intelligent Data Engineering and Automated Learning IDEAL 2020 Books now! Available in PDF, ePub and Kindle.

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Intelligent Data Engineering and Automated Learning     IDEAL 2018
  • Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
  • Publisher : Springer
  • Release Date : 2018-11-08

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest

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Intelligent Data Engineering and Automated Learning     IDEAL 2019
  • Author : Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger
  • Publisher : Springer Nature
  • Release Date : 2019-11-07

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the

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Intelligent Data Engineering and Automated Learning   IDEAL 2009
  • Author : Emilio Corchado,Hujun Yin
  • Publisher : Springer
  • Release Date : 2009-09-29

The IDEAL conference boast a vibrant and successful history dating back to 1998, th and this edition marked the 10 anniversary, an important milestone demonstrating the increasing popularity and high quality of the IDEAL conferences. Burgos, the capital of medieval Spain and a lively city today, was a perfect venue to celebrate

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Interpretable Artificial Intelligence  A Perspective of Granular Computing
  • Author : Witold Pedrycz
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Interpretable Artificial Intelligence A Perspective of Granular Computing written by Witold Pedrycz, published by Springer Nature which was released on . Download full Interpretable Artificial Intelligence A Perspective of Granular Computing Books now! Available in PDF, ePub and Kindle.

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13th International Conference on Computational Intelligence in Security for Information Systems  CISIS 2020
  • Author : Álvaro Herrero,Carlos Cambra,Daniel Urda,Javier Sedano,Héctor Quintián,Emilio Corchado
  • Publisher : Springer Nature
  • Release Date : 2020-08-27

This book contains accepted papers presented at CISIS 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020. The aim of the CISIS 2020 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data

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Parallel Problem Solving from Nature     PPSN XVI
  • Author : Thomas Bäck
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Parallel Problem Solving from Nature PPSN XVI written by Thomas Bäck, published by Springer Nature which was released on . Download full Parallel Problem Solving from Nature PPSN XVI Books now! Available in PDF, ePub and Kindle.

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Intelligent Data Engineering and Automated Learning     IDEAL 2018
  • Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
  • Publisher : Springer
  • Release Date : 2018-11-09

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest

GET BOOK
Data Intelligence and Cognitive Informatics
  • Author : I. Jeena Jacob
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Data Intelligence and Cognitive Informatics written by I. Jeena Jacob, published by Springer Nature which was released on . Download full Data Intelligence and Cognitive Informatics Books now! Available in PDF, ePub and Kindle.

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Machine Learning for Predictive Analysis
  • Author : Amit Joshi
  • Publisher : Springer Nature
  • Release Date : 2021-07-27

Read online Machine Learning for Predictive Analysis written by Amit Joshi, published by Springer Nature which was released on . Download full Machine Learning for Predictive Analysis Books now! Available in PDF, ePub and Kindle.

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Innovative Data Communication Technologies and Application
  • Author : Jennifer S. Raj,Abul Bashar,S. R. Jino Ramson
  • Publisher : Springer Nature
  • Release Date : 2020-01-30

This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state-of-the-art in data engineering practices to tackle massive data distributions in smart networked environments. It also provides insights into potential data distribution challenges in ubiquitous data-driven networks, highlighting research on the theoretical

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques  Tools  and Applications
  • Author : K. G. Srinivasa,G. M. Siddesh,S. R. Manisekhar
  • Publisher : Springer Nature
  • Release Date : 2020-01-30

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health

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