Intelligent Data Engineering And Automated Learning Ideal 2021 PDF Download
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| Author | : Hujun Yin |
| Publisher | : Springer Nature |
| Total Pages | : 663 |
| Release | : 2021-11-23 |
| Genre | : Computers |
| ISBN | : 3030916081 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2021 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
| Author | : Cesar Analide |
| Publisher | : Springer Nature |
| Total Pages | : 633 |
| Release | : 2020-10-29 |
| Genre | : Computers |
| ISBN | : 3030623653 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2020 Book in PDF, ePub and Kindle
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.
| Author | : Hujun Yin |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030916091 |
Download Intelligent Data Engineering and Automated Learning - IDEAL 2021 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
| Author | : Hujun Yin |
| Publisher | : Springer |
| Total Pages | : 656 |
| Release | : 2013-10-16 |
| Genre | : Computers |
| ISBN | : 3642412785 |
Download Intelligent Data Engineering and Automated Learning -- IDEAL 2013 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.
| Author | : Emilio Corchado |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1473 |
| Release | : 2006-09-20 |
| Genre | : Computers |
| ISBN | : 3540454853 |
Download Intelligent Data Engineering and Automated Learning--IDEAL 2006 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006. The 170 revised full papers presented were carefully selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.
| Author | : Hujun Yin |
| Publisher | : Springer |
| Total Pages | : 364 |
| Release | : 2018-11-08 |
| Genre | : Computers |
| ISBN | : 3030034968 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2018 Book in PDF, ePub and Kindle
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 advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
| Author | : Emilio Corchado |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 848 |
| Release | : 2009-09-07 |
| Genre | : Computers |
| ISBN | : 3642043933 |
Download Intelligent Data Engineering and Automated Learning - IDEAL 2009 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, held in Burgos, Sapin, in September 2009. The 100 revised full papers presented were carefully reviewed and selected from over 200 submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing; data mining and information management; neuro-informatics, bio-informatics, and bio-inspired models; agents and hybrid systems; soft computing techniques in data mining; recent advances on swarm-based computing; intelligent computational techniques in medical image processing; advances on ensemble learning and information fursion; financial and business engineering (modeling and applications); MIR day 2009 - Burgos; and nature inspired models for industrial applications.
| Author | : Hujun Yin |
| Publisher | : Springer |
| Total Pages | : 626 |
| Release | : 2017-10-23 |
| Genre | : Computers |
| ISBN | : 3319689355 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2017 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
| Author | : Cesar Analide |
| Publisher | : Springer |
| Total Pages | : 400 |
| Release | : 2020-10-30 |
| Genre | : Computers |
| ISBN | : 9783030623616 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2020 Book in PDF, ePub and Kindle
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.
| Author | : Marcus Gallagher |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 613 |
| Release | : 2005-06-20 |
| Genre | : Business & Economics |
| ISBN | : 354026972X |
Download Intelligent Data Engineering and Automated Learning - IDEAL 2005 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2005, held in Brisbane, Australia, in July 2005. The 76 revised full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on data mining and knowledge engineering, learning algorithms and systems, bioinformatics, agent technologies, and financial engineering.
