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Springer Soft Computing for Knowledge Discovery - Springer 570

Amazon

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8 days 69 days · current 0 17 35 52 69 £117 £118 Days at Price

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Description

Soft Computing for Knowledge Discovery provides a comprehensive guide to uncovering patterns in data through soft computing methods. This Springer publication (570 in The International Series in Engineering and Computer Science) offers a self-contained exposition of theory and algorithms essential for knowledge discovery. The book focuses on knowledge representation and machine learning, exploring the core methodologies of soft computing including fuzzy set theory and fuzzy logic. Designed for professionals and researchers in computer science, it systematically presents techniques that enable computers to perform tasks autonomously or assist humans in working more efficiently with complex data. Ideal for those seeking to understand how soft computing principles apply to real-world knowledge discovery challenges.

Key Features

Springer publication covering soft computing theory and algorithms for knowledge discovery applications.

Focuses on knowledge representation and machine learning methodologies within the soft computing framework.

Explores fuzzy set theory and fuzzy logic as core techniques for pattern recognition in data.

Self-contained systematic exposition designed for researchers and professionals in computer science and engineering.

Part of The Springer International Series in Engineering and Computer Science (volume 570).

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 August 2000
Listed Since
15 December 2006

Barcode

No barcode data available

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