Isbn: 9780817649036 - towards an information theory of complex networks: statistical methods and applications (18 resultados)

hardcover. Condición: Sehr gut. 411 Seiten; 9780817649036.2 Gewicht in Gramm: 1.

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Condición: New. Pesents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. This title advocates and promotes a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. Editor(s): Dehmer, Matthias; Emmert-Streib, Frank; Mehler, Alexander. Num Pages: 395 pages, 114 black & white illustrations, 39 black & white tables, biography. BIC Classification: GPFC; PBT; PBW; TJK. Category: (P) Professional & Vocational. Dimension: 244 x 163 x 28. Weight in Grams: 740. . 2011. 2011th Edition. hardcover. . . . .…

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research, the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.…

Condición: New. pp. 412.

Condición: New. In English.

Hardcover. Condición: Brand New. 411 pages. 9.25x6.50x1.25 inches. In Stock.

Condición: New. Pesents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. This title advocates and promotes a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. Editor(s): Dehmer, Matthias; Emmert-Streib, Frank; Mehler, Alexander. Num Pages: 395 pages, 114 black & white illustrations, 39 black & white tables, biography. BIC Classification: GPFC; PBT; PBW; TJK. Category: (P) Professional & Vocational. Dimension: 244 x 163 x 28. Weight in Grams: 740. . 2011. 2011th Edition. hardcover. . . . . Books ship from the US and Ireland.…

Condición: gut. 2011. Towards an Information Theory of Complex Networks: Statistical Methods and Applications In englischer Sprache. pages.

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research, the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others. 412 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on the market giving a comprehensive look at the applications of information-theoretic models for complex networksSynthesizes graph-theoretic, statistical, and information-theoretic methods to effectively understand and characterize rea.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -For over a decade, complex networks have steadily grown as an important tool across abroad array of academic disciplines, with applications ranging from physics to social media.A tightly organized collectionofcarefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities.The book'smajor goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks.This volume is the first to present a self-contained, comprehensive overview of information-theoretic modelsof complex networks with an emphasis on applications. As such, itmarks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networksfor allscientific disciplines andcan serve asa valuable resource foradiverse audience of advanced students and professional scientists.While it is primarilyintendedas a reference for research,the bookcould also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 412 pp. Englisch.…

Condición: New. Print on Demand pp. 412 114 Illus.

Condición: New. PRINT ON DEMAND pp. 412.