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Viac informácií o knihe Operational Data Analytics

• Parametre knihy
• Anotácia kniha
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Anotácia knihy

This book develops Operational Data Analytics (ODA) as a rigorous theoretical foundation, a unified research methodology, and a guiding philosophy for data-integrated decision making. Moving beyond conventional approaches that emphasize general-purpose learning and optimization procedures, ODA places the structure of the decision problem at the heart of decision learning. Its central focus is the design and validation of data-to-decision mappings, termed operational statistics, that systematically exploit the knowledge and structural properties of the underlying system. Bringing together optimization, statistical inference, machine learning, and universal approximation, the authors develop a unified spectrum of decision-learning approaches distinguished by what is known, what remains to be learned, and how decision quality should be validated. The book equips researchers and doctoral students with a rigorous framework for integrating advanced analytical methods with mathematical structure and operational insight.

Parametre knihy

• Celý názov: Operational Data Analytics
• Podnázov: Foundations for Decision-Focused Regularized Learning.DE
• Autor: Qi Feng, J. George Shanthikumar
• Jazyk: Angličtina
• Väzba: Pevná
• EAN: 9783032468789
• ID: 54377065
• Nakladateľ: Springer, Berlin
• Rozmery: 240 × 168 mm
• Dátum vydania: 22. April 2027

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