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Computational Intelligence for Network Structure Analytics (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R2,874
Discovery Miles 28 740
Computational Intelligence for Network Structure Analytics (Paperback, Softcover reprint of the original 1st ed. 2017): Maoguo...

Computational Intelligence for Network Structure Analytics (Paperback, Softcover reprint of the original 1st ed. 2017)

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

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Loot Price R2,874 Discovery Miles 28 740 | Repayment Terms: R269 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: December 2018
First published: 2017
Authors: Maoguo Gong • Qing Cai • Lijia Ma • Shanfeng Wang • Yu Lei
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 283
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-981-13-5167-9
Categories: Books > Computing & IT > General theory of computing > General
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 981-13-5167-8
Barcode: 9789811351679

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