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£47.75
Springer Foundations of Rule Learning (Cognitive Technologies)
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Last 34 days • 34 data points (No recent data available)
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Price distribution over 34 days • 1 price levels
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Most common price: £48 (34 days, 100.0%)
Price range: £48 - £48
Price levels: 1 different prices over 34 days
Description
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
Product Specifications
- Brand
- Springer
- Format
- Paperback
- ASIN
- 3642430465
- Domain
- Amazon UK
- Release Date
- 14 December 2014
- Listed Since
- 04 December 2014
Barcode
No barcode data available
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