Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Operational Data Analytics: Foundations for Decision-Focused Regularized Learning

Operational Data Analytics: Foundations for Decision-Focused Regularized Learning

Feng, Qi

Hardcover

Business GeneralDatabasesProbability & Statistics

PREORDER - Expected ship date April 25, 2027

ISBN10: 3032468787
ISBN13: 9783032468789
Publisher: Springer
Published: Apr 25 2027
Language: English
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.

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