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Intelligent Data Engineering and Automated Learning - IDEAL 2005

Intelligent Data Engineering and Automated Learning - IDEAL 2005
Author: Marcus Gallagher
Publisher: Springer Science & Business Media
Total Pages: 613
Release: 2005-06-20
Genre: Business & Economics
ISBN: 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.


Intelligent Data Engineering and Automated Learning – IDEAL 2020

Intelligent Data Engineering and Automated Learning – IDEAL 2020
Author: Cesar Analide
Publisher: Springer Nature
Total Pages: 633
Release: 2020-10-29
Genre: Computers
ISBN: 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.


Intelligent Data Engineering and Automated Learning - IDEAL 2009

Intelligent Data Engineering and Automated Learning - IDEAL 2009
Author: Emilio Corchado
Publisher: Springer Science & Business Media
Total Pages: 848
Release: 2009-09-07
Genre: Computers
ISBN: 3642043933

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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.


Intelligent Data Engineering and Automated Learning - IDEAL 2006

Intelligent Data Engineering and Automated Learning - IDEAL 2006
Author: Emilio Corchado
Publisher: Springer
Total Pages: 1473
Release: 2006-09-26
Genre: Computers
ISBN: 354045487X

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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.


Intelligent Data Engineering and Automated Learning--IDEAL 2006

Intelligent Data Engineering and Automated Learning--IDEAL 2006
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.


Intelligent Data Engineering and Automated Learning - IDEAL 2007

Intelligent Data Engineering and Automated Learning - IDEAL 2007
Author: Hujun Yin
Publisher: Springer Science & Business Media
Total Pages: 1192
Release: 2007-12-10
Genre: Computers
ISBN: 3540772251

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Annotation This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, held in Birmingham, UK, in December 2007. The 170 revised full papers presented were carefully reviewed and selected from more than 270 submissions. The papers are organized in topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, financial engineering and modeling, agent-based approach to service sciences, as well as neural-evolutionary fusion algorithms and their applications.


Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Intelligent Data Engineering and Automated Learning -- IDEAL 2012
Author: Hujun Yin
Publisher: Springer
Total Pages: 882
Release: 2012-08-01
Genre: Computers
ISBN: 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.


Intelligent Data Engineering and Automated Learning – IDEAL 2008

Intelligent Data Engineering and Automated Learning – IDEAL 2008
Author: Colin Fyfe
Publisher: Springer Science & Business Media
Total Pages: 548
Release: 2008-10-08
Genre: Computers
ISBN: 3540889051

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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 2013

Intelligent Data Engineering and Automated Learning -- IDEAL 2013
Author: Hujun Yin
Publisher: Springer
Total Pages: 656
Release: 2013-10-16
Genre: Computers
ISBN: 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.