Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 7.99 € Correio DPD 4.49 € Ponto DPD 3.99 € Correio GLS 5.49 € Correio MRW 5.49 € Ponto GLS 4.49 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

Computational Intelligence for Network Structure Analytics

Língua

Inglês

Livro Livro de capa dura

Código Libristo: 16080912

Editoras Springer Verlag, Singapore, setembro 2017

This book presents the latest research advances in complex network structure analytics based on comp... Descrição completa

Código Libristo: 16080912

263 b

107.84 €

Armazenamento externo Envio em 10-13 dias

Até 30 dias para devoluções

Os clientes também compraram

El hijo del círculo ANDREU

Capa mole

26.22 €

Die Geschichte Der Deutschen Johann Georg August Wirth

Capa mole

37.48 €

Pagine comasche. Vicende, luoghi, personaggi nella storia e nell'arte Carlo Galante

Capa mole

34.26 €

Imperium Solis MARIO FARNETI

Capa mole

21.40 €

Albrecht-Thaer-Archiv, Band 10, Heft 10, Albrecht-Thaer-Archiv Band 10, Heft 10 No Contributor

Livro de capa dura

124.63 €

CATAN - Zusatzmaterial für Das Duell - Bonus Box Klaus Teuber

Jogo

23.91 €

Nuovissimo Progetto italiano Marin T.

Capa mole

34.37 €

The Elektra Albums 1968-1970

CD de áudio

52.26 €

Tiempo Para So?ar: Time to Dream Ion Iacob

Capa mole

12.76 €

CANDIDE FRANÇO VOLTAIRE

Capa mole

9.54 €

Souvenirs d'Un Voyage A Chislehurst Mallet-D

Capa mole

14.26 €

Shayou Osamu Dazai

Capa mole

26.63 €

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.