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Springer Intelligent Systems for Knowledge Management 252

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Description

Explore advanced developments in computational intelligence with Intelligent Systems for Knowledge Management. This volume, part of the Studies in Computational Intelligence series (252), addresses the urgent need for new approaches in problem solving and decision making. As environments become more information-rich, the ability to manage knowledge effectively becomes a primary requirement for smart decision support. This book examines systems designed to handle complex and ill-structured situations. It focuses on the development of intelligent systems that can function with imprecise information, rely on existing knowledge, and learn from experience. Through 13 detailed chapters, this text provides a deep look into the mechanisms required to build systems capable of navigating modern, data-heavy landscapes. It is an essential resource for those studying how intelligent systems can bridge the gap between raw data and actionable intelligence.

Key Features

Covers 13 chapters focused on the development of intelligent systems for modern problem solving.

Addresses methods for managing knowledge and information in smart decision making support.

Explores how systems can function effectively in information-rich and complex environments.

Provides insights into building systems that can cope with imprecise information.

Discusses the ability of intelligent systems to learn from experience and rely on existing knowledge.

Part of the Studies in Computational Intelligence series, volume 252 from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 March 2012
Listed Since
08 March 2012

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