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Computational Intelligence for Network Structure Analytics (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R2,789
Discovery Miles 27 890
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Computational Intelligence for Network Structure Analytics (Paperback, Softcover reprint of the original 1st ed. 2017)
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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.
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