Nature-Inspired Computation in Data Mining and Machine Learning - Couverture souple

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9783030285555: Nature-Inspired Computation in Data Mining and Machine Learning

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ISBN 10 : 3030285553 ISBN 13 : 9783030285555

Editeur : Springer, 2020

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Adaptive Improved Flower Pollination Algorithm for Global Optimization.- Algorithms for Optimization and Machine Learning over Cloud.- Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks.- Comparative analysis of different classiﬁers on crisis-related tweets: An elaborate study.- An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm.- Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.

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�diteur: Springer
Date d'�dition: 2020
Langue: anglais
ISBN 10: 3030285553
ISBN 13: 9783030285555
Reliure: Broch�
Nombre de pages: 288
�diteur: Yang Xin-She, He Xing-Shi
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Nature-Inspired Computation in Data Mining and Machine Learning

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details.Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning. 288 pp. Englisch. N� de r�f. du vendeur 9783030285555

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Nature-Inspired Computation in Data Mining and Machine Learning: 855 (Studies in Computational Intelligence)

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a timely review and summary of the latest developments in nature-inspired computation and its application in data mining and machine learningDiscusses key directions in topics such as nature-inspired algorithms, swarm intelligence, classi. N� de r�f. du vendeur 448677853

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Nature-Inspired Computation in Data Mining and Machine Learning

Xin-She Yang

Edit� par Springer, Palgrave Macmillan Sep 2020, 2020

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch. N� de r�f. du vendeur 9783030285555

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Nature-Inspired Computation in Data Mining and Machine Learning

Xing-Shi He

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details.Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning. N� de r�f. du vendeur 9783030285555

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