Intelligent Data Engineering And Automated Learning Ideal 2012 eBook Download PDF

Download Intelligent Data Engineering And Automated Learning Ideal 2012 full books in PDF, epub, and Kindle. Read online Intelligent Data Engineering And Automated Learning Ideal 2012 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Author: Hujun Yin

Publisher: Springer

Published: 2012-08-01

Total Pages: 882

ISBN-13: 3642326390

DOWNLOAD EBOOK

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

Author: Jiming Liu

Publisher: Springer Science & Business Media

Published: 2003-07-29

Total Pages: 1161

ISBN-13: 354040550X

DOWNLOAD EBOOK

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

DOWNLOAD EBOOK

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 2005

Author: Marcus Gallagher

Publisher: Springer Science & Business Media

Published: 2005-06-20

Total Pages: 613

ISBN-13: 354026972X

DOWNLOAD EBOOK

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.

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Author: Hujun Yin

Publisher: Springer

Published: 2016-09-12

Total Pages: 647

ISBN-13: 3319462571

DOWNLOAD EBOOK

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 2004

Author: Zhen Rong Yang

Publisher: Springer

Published: 2004-10-29

Total Pages: 854

ISBN-13: 3540286519

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004, held in Exeter, UK, in August 2004. The 124 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections on bioinformatics, data mining and knowledge engineering, learning algorithms and systems, financial engineering, and agent technologies.

Book Synopsis Intelligent Data Engineering and Automated Learning - IDEAL 2004 by : Zhen Rong Yang

Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2004 written by Zhen Rong Yang and published by Springer. This book was released on 2004-10-29 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004, held in Exeter, UK, in August 2004. The 124 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections on bioinformatics, data mining and knowledge engineering, learning algorithms and systems, financial engineering, and agent technologies.

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

DOWNLOAD EBOOK

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 2008

Author: Colin Fyfe

Publisher: Springer Science & Business Media

Published: 2008-10-08

Total Pages: 548

ISBN-13: 3540889051

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, held in Daejeon, Korea, in November 2008. The 56 revised full papers presented together with 10 invited papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, as well as financial engineering and modeling.

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2008 by : Colin Fyfe

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2008 written by Colin Fyfe and published by Springer Science & Business Media. This book was released on 2008-10-08 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, held in Daejeon, Korea, in November 2008. The 56 revised full papers presented together with 10 invited papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, as well as financial engineering and modeling.

Intelligent Data Engineering and Automated Learning -- IDEAL 2014

Author: Emilio Corchado

Publisher: Springer

Published: 2014-08-13

Total Pages: 524

ISBN-13: 3319108409

DOWNLOAD EBOOK

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.

Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2014 by : Emilio Corchado

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2014 written by Emilio Corchado and published by Springer. This book was released on 2014-08-13 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Author: Hujun Yin

Publisher: Springer

Published: 2018-11-08

Total Pages: 364

ISBN-13: 3030034968

DOWNLOAD EBOOK

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 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.