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Springer Data Mining and Knowledge Discovery via Logic-Based Methods

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Description

Data Mining and Knowledge Discovery via Logic-Based Methods presents comprehensive theory, algorithms, and practical applications for extracting valuable insights from complex datasets. This Springer Optimization and Its Applications volume 43 addresses the critical need for efficient and effective methods in data mining and knowledge discovery, exploring multiple problem formulations including the widely-used binary attributes setting. The book examines how states of nature and application domains are described through Boolean vectors defined on relevant attributes, providing researchers, practitioners, and advanced students with rigorous mathematical foundations and actionable methodologies. Logic-based approaches offer transparent, interpretable alternatives to black-box methods, making this resource essential for those developing or implementing data mining solutions. Whether you work in management science, business analytics, or applied research, this structured treatment of theory and algorithms enables you to tackle real-world knowledge discovery challenges with proven techniques.

Key Features

Springer Optimization and Its Applications volume 43 combines advanced theoretical foundations with practical algorithmic approaches to data mining and knowledge discovery.

Logic-based methods provide interpretable solutions for extracting patterns from datasets described using binary attributes and Boolean vectors.

Comprehensive coverage of theory and algorithms addresses multiple problem formulations relevant to management science and business applications.

Systematic exploration of how application domains are modelled through attribute-based data points supports effective knowledge extraction.

Research-level treatment makes this resource valuable for academics, practitioners, and advanced students in data analysis and optimisation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
13 July 2012

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