Intelligent Data Engineering And Automated Learning PDF Download
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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 | : 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 | : 890 |
Release | : 2018-11-08 |
Genre | : Computers |
ISBN | : 3030034933 |
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 | : Hujun Yin |
Publisher | : Springer Nature |
Total Pages | : 376 |
Release | : 2019-11-07 |
Genre | : Computers |
ISBN | : 3030336174 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2019 Book in PDF, ePub and Kindle
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.
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 | : Cesar Analide |
Publisher | : Springer Nature |
Total Pages | : 424 |
Release | : 2020-10-29 |
Genre | : Computers |
ISBN | : 3030623629 |
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 | : Springer |
Total Pages | : 882 |
Release | : 2012-08-01 |
Genre | : Computers |
ISBN | : 3642326390 |
Download Intelligent Data Engineering and Automated Learning -- IDEAL 2012 Book in PDF, ePub and Kindle
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.
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 | : Hujun Yin |
Publisher | : Springer Nature |
Total Pages | : 575 |
Release | : 2019-11-07 |
Genre | : Computers |
ISBN | : 3030336077 |
Download Intelligent Data Engineering and Automated Learning – IDEAL 2019 Book in PDF, ePub and Kindle
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.