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Springer Mining and Control of Network Traffic - Vol 342

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Description

This technical volume from Springer explores the complex world of Internet traffic through the lens of computational intelligence. As packet switched networks become harder to model using traditional analytical methods, this book provides necessary frameworks for understanding and managing these systems. Readers will explore practical applications of fuzzy techniques to address issues in measurement, analysis, and control. The text covers essential data mining and control problems, making it a valuable resource for those studying the fast-moving development of modern networks. Beyond theoretical concepts, the book also addresses the practical hardware implementation of the proposed systems, bridging the gap between computational theory and real-world engineering applications.

Key Features

Explores computational intelligence applications specifically for Internet traffic measurement and analysis.

Focuses on the use of fuzzy techniques to solve complex network control problems.

Covers essential data mining methods to better understand packet switched network behavior.

Provides insights into the practical hardware implementation of proposed network systems.

Addresses the challenges of modeling fast-developing and heterogeneous Internet environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 October 2014
Listed Since
07 October 2014

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