Verfügbarkeit: Intelligent data engineering and automated learning – IDEAL 2016

Intelligent data engineering and automated learning – IDEAL 2016: 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings

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Bibliographische Detailangaben
Körperschaft:	IDEAL Yangzhou (VerfasserIn)
Weitere beteiligte Personen:	Yin, Hujun 1962- (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	[Cham] Springer International [2016]
Schriftenreihe:	Lecture Notes in Computer Science 9937
Schlagwörter:	Computer science Computers Algorithms Data mining Information storage and retrieval Artificial intelligence Pattern recognition Computer Science Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices Informatik Künstliche Intelligenz Informationsverarbeitung Informationsmanagement Wissenstechnik Neuroinformatik Data Mining Soft Computing Maschinelles Lernen Bioinformatik Mehragentensystem Konferenzschrift > 2016 > Yangzhou
Links:	https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8 https://doi.org/10.1007/978-3-319-46257-8
Umfang:	1 Online-Ressource XVI, 647 Seiten Illustrationen, Diagramme
ISBN:	9783319462578 9783319462561
ISSN:	0302-9743
DOI:	10.1007/978-3-319-46257-8

Internformat

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genre_facet	Konferenzschrift 2016 Yangzhou
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physical	1 Online-Ressource XVI, 647 Seiten Illustrationen, Diagramme
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spellingShingle	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings Lecture Notes in Computer Science Computer science Computers Algorithms Data mining Information storage and retrieval Artificial intelligence Pattern recognition Computer Science Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices Informatik Künstliche Intelligenz Informationsverarbeitung (DE-588)4161678-9 gnd Informationsmanagement (DE-588)4114012-6 gnd Wissenstechnik (DE-588)4192641-9 gnd Neuroinformatik (DE-588)4655105-0 gnd Data Mining (DE-588)4428654-5 gnd Soft Computing (DE-588)4455833-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Bioinformatik (DE-588)4611085-9 gnd Mehragentensystem (DE-588)4389058-1 gnd
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title	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings
title_auth	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings
title_exact_search	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings
title_full	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros (eds.)
title_fullStr	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros (eds.)
title_full_unstemmed	Intelligent data engineering and automated learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros (eds.)
title_short	Intelligent data engineering and automated learning – IDEAL 2016
title_sort	intelligent data engineering and automated learning ideal 2016 17th international conference yangzhou china october 12 14 2016 proceedings
title_sub	17th International Conference, Yangzhou, China, October 12–14, 2016 : proceedings
topic	Computer science Computers Algorithms Data mining Information storage and retrieval Artificial intelligence Pattern recognition Computer Science Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices Informatik Künstliche Intelligenz Informationsverarbeitung (DE-588)4161678-9 gnd Informationsmanagement (DE-588)4114012-6 gnd Wissenstechnik (DE-588)4192641-9 gnd Neuroinformatik (DE-588)4655105-0 gnd Data Mining (DE-588)4428654-5 gnd Soft Computing (DE-588)4455833-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Bioinformatik (DE-588)4611085-9 gnd Mehragentensystem (DE-588)4389058-1 gnd
topic_facet	Computer science Computers Algorithms Data mining Information storage and retrieval Artificial intelligence Pattern recognition Computer Science Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices Informatik Künstliche Intelligenz Informationsverarbeitung Informationsmanagement Wissenstechnik Neuroinformatik Data Mining Soft Computing Maschinelles Lernen Bioinformatik Mehragentensystem Konferenzschrift 2016 Yangzhou
url	https://doi.org/10.1007/978-3-319-46257-8
volume_link	(DE-604)BV014880109
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