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Intelligent Science and Intelligent Data Engineering

Intelligent Science and Intelligent Data Engineering PDF Author: Yanning Zhang
Publisher: Springer
ISBN: 364231919X
Category : Computers
Languages : en
Pages : 772

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Book Description
This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi'an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.

Intelligent Science and Intelligent Data Engineering

Intelligent Science and Intelligent Data Engineering PDF Author: Yanning Zhang
Publisher: Springer
ISBN: 364231919X
Category : Computers
Languages : en
Pages : 772

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Book Description
This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi'an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.

Intelligent Science and Intelligent Data Engineering

Intelligent Science and Intelligent Data Engineering PDF Author: Jian Yang
Publisher: Springer
ISBN: 3642366694
Category : Computers
Languages : en
Pages : 880

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Book Description
This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. The 105 papers presented were carefully peer-reviewed and selected from 429 submissions. Topics covered include pattern recognition; computer vision and image processing; machine learning and computational intelligence; knowledge discovery, data mining, and web mining; graphics and computer visualization; and multimedia processing and applications.

Intelligent Data Engineering and Analytics

Intelligent Data Engineering and Analytics PDF Author: Suresh Chandra Satapathy
Publisher: Springer Nature
ISBN: 9811666245
Category : Computational intelligence
Languages : en
Pages : 567

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Book Description
This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25-26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. .

Intelligence Science and Big Data Engineering

Intelligence Science and Big Data Engineering PDF Author: Changyin Sun
Publisher: Springer
ISBN: 3642420575
Category : Computers
Languages : en
Pages : 908

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine learning and computational intelligence; neural networks and neuro-informatics; statistical inference and uncertainty reasoning; bioinformatics and computational biology and speech recognition and natural language processing.

Intelligent Data Engineering and Automated Learning - IDEAL 2006

Intelligent Data Engineering and Automated Learning - IDEAL 2006 PDF Author: Emilio Corchado
Publisher: Springer
ISBN: 354045487X
Category : Computers
Languages : en
Pages : 1450

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Book Description
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.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques PDF Author: Xiaofei He
Publisher: Springer
ISBN: 3319238620
Category : Computers
Languages : en
Pages : 627

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Book Description
The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

Intelligent Data Engineering and Automated Learning -- IDEAL 2013

Intelligent Data Engineering and Automated Learning -- IDEAL 2013 PDF Author: Hujun Yin
Publisher: Springer
ISBN: 3642412785
Category : Computers
Languages : en
Pages : 639

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Book Description
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 2019

Intelligent Data Engineering and Automated Learning – IDEAL 2019 PDF Author: Hujun Yin
Publisher: Springer Nature
ISBN: 3030336174
Category : Computers
Languages : en
Pages : 364

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Book Description
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.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning

Intelligence Science and Big Data Engineering. Big Data and Machine Learning PDF Author: Zhen Cui
Publisher: Springer Nature
ISBN: 3030362043
Category : Computers
Languages : en
Pages : 455

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Book Description
The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Intelligent Data Engineering and Automated Learning - IDEAL 2009

Intelligent Data Engineering and Automated Learning - IDEAL 2009 PDF Author: Emilio Corchado
Publisher: Springer Science & Business Media
ISBN: 3642043933
Category : Computers
Languages : en
Pages : 826

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Book Description
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.