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Intelligent Data Engineering and Automated Learning

Author: Jiming Liu

Publisher: Springer Science & Business Media

Published: 2003-07-29

Total Pages: 1161

ISBN-13: 354040550X

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This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Book Synopsis Intelligent Data Engineering and Automated Learning by : Jiming Liu

Download or read book Intelligent Data Engineering and Automated Learning written by Jiming Liu and published by Springer Science & Business Media. This book was released on 2003-07-29 with total page 1161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Intelligent Data Engineering and Automated Learning -- IDEAL 2013

Author: Hujun Yin

Publisher: Springer

Published: 2013-10-16

Total Pages: 656

ISBN-13: 3642412785

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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.

Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2013 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2013 written by Hujun Yin and published by Springer. This book was released on 2013-10-16 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Engineering and Automated Learning--IDEAL 2006

Author: Emilio Corchado

Publisher: Springer Science & Business Media

Published: 2006-09-20

Total Pages: 1473

ISBN-13: 3540454853

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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.

Book Synopsis Intelligent Data Engineering and Automated Learning--IDEAL 2006 by : Emilio Corchado

Download or read book Intelligent Data Engineering and Automated Learning--IDEAL 2006 written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2006-09-20 with total page 1473 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Author: Hujun Yin

Publisher: Springer

Published: 2016-09-12

Total Pages: 647

ISBN-13: 3319462571

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This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2016 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2016 written by Hujun Yin and published by Springer. This book was released on 2016-09-12 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Author: Hujun Yin

Publisher: Springer

Published: 2018-11-08

Total Pages: 890

ISBN-13: 3030034933

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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.

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2018 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2018 written by Hujun Yin and published by Springer. This book was released on 2018-11-08 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Author: Hujun Yin

Publisher: Springer

Published: 2018-11-08

Total Pages: 364

ISBN-13: 3030034968

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2018 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2018 written by Hujun Yin and published by Springer. This book was released on 2018-11-08 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Author: Hujun Yin

Publisher: Springer

Published: 2012-08-01

Total Pages: 882

ISBN-13: 3642326390

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This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2012 written by Hujun Yin and published by Springer. This book was released on 2012-08-01 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Author: Hujun Yin

Publisher: Springer Nature

Published: 2019-11-07

Total Pages: 376

ISBN-13: 3030336174

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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 latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2019 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2019 written by Hujun Yin and published by Springer Nature. This book was released on 2019-11-07 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Intelligent Data Engineering and Automated Learning – IDEAL 2020

Author: Cesar Analide

Publisher: Springer Nature

Published: 2020-10-29

Total Pages: 633

ISBN-13: 3030623653

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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.

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2020 by : Cesar Analide

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2020 written by Cesar Analide and published by Springer Nature. This book was released on 2020-10-29 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 2005

Author: Marcus Gallagher

Publisher: Springer Science & Business Media

Published: 2005-06-20

Total Pages: 613

ISBN-13: 354026972X

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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.

Book Synopsis Intelligent Data Engineering and Automated Learning - IDEAL 2005 by : Marcus Gallagher

Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2005 written by Marcus Gallagher and published by Springer Science & Business Media. This book was released on 2005-06-20 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.