xi, 283 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N� de r�f. du vendeur 5990FB

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Computational Intelligence for Network Structure Analytics

Gong, Maoguo; Cai, Qing; Ma, Lijia; Wang, Shanfeng; Lei, Yu

Edit� par Springer, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

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Computational Intelligence for Network Structure Analytics

Maoguo Gong

Edit� par Springer Nature Singapore Sep 2017, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications.As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment.Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work. 296 pp. Englisch. N� de r�f. du vendeur 9789811045578

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Computational Intelligence for Network Structure Analytics

Gong, Maoguo; Cai, Qing; Ma, Lijia; Wang, Shanfeng; Lei, Yu

Edit� par Springer, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

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Computational Intelligence for Network Structure Analytics

Gong, Maoguo; Cai, Qing; Ma, Lijia; Wang, Shanfeng; Lei, Yu

Edit� par Springer, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

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Computational Intelligence for Network Structure Analytics

Maoguo Gong|Qing Cai|Lijia Ma|Shanfeng Wang|Yu Lei

Edit� par Springer Singapore, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

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Vendeur : moluna, Greven, Allemagne

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a holistic view of complex network structure analytics based on computational intelligenceIncludes a rich blend of theory and practice, addressing seminal research ideas and examining the technology from a practical p. N� de r�f. du vendeur 147341026

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Computational Intelligence for Network Structure Analytics

Maoguo Gong

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2017

ISBN 10 : 9811045577 ISBN 13 : 9789811045578

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications.As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment.Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work. N� de r�f. du vendeur 9789811045578

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