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Intelligent Data Engineering and Automated Learning – IDEAL 2014 [electronic resource] :15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings /

Contributor(s): Corchado, Emilio [editor.] | Lozano, José A [editor.] | Quintián, Héctor [editor.] | Yin, Hujun [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8669Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014.Description: XX, 508 p. 147 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319108407.Subject(s): 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 DevicesOnline resources: Click here to access online In: Springer eBooksSummary: 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.
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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.

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