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Book synopsis

Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. na

Book details

Book category Books in English Computing & information technology Computer hardware Maintenance & repairs

• Full title: Soft Computing for Knowledge Discovery
• Subtitle: Introducing Cartesian Granule Features
• Author: James G. Shanahan
• Language: English
• Binding: Hardback
• Number of pages: 326
• EAN: 9780792379188
• ISBN: 0792379187
• ID: 01397315
• Publisher: Springer
• Weight: 1480 g
• Dimensions: 235 × 155 × 21 mm
• Date of publishing: 31. August 2000

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