£113.09

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£113 today · previous high £113 · all-time low £108

Springer Intelligent Systems for Knowledge Management - AI & ML Book

Amazon

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Description

Intelligent Systems for Knowledge Management explores cutting-edge approaches for developing systems that solve complex problems and support smart decision making in information-rich environments. This Springer publication, part of the Studies in Computational Intelligence series volume 252, addresses the critical challenge of knowledge and information management in intelligent systems development. The book comprises 13 chapters that examine how modern systems can handle ill-structured situations, work with imprecise information, and learn from experience to improve performance. Written for researchers, developers, and academics in artificial intelligence and machine learning, this volume provides essential insights into building systems capable of functioning effectively when traditional approaches fall short, making it invaluable for anyone working in knowledge management, AI applications, or intelligent decision support systems.

Key Features

Springer publication focusing on intelligent systems and knowledge management strategies for modern problem solving.

Volume 252 in the Studies in Computational Intelligence series offering peer-reviewed research and academic rigour.

13 comprehensive chapters exploring knowledge and information management as central to effective smart decision making.

Addresses systems designed to handle complex, ill-structured situations and work within information-rich environments.

Covers approaches for systems to manage imprecise information whilst learning from experience and applying knowledge.

Essential resource for researchers and professionals developing artificial intelligence and machine learning applications.

Product Specifications

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

Barcode

No barcode data available

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