A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores

DOI10.1007/s10479-012-1171-9zbMath1357.90024OpenAlexW1973733304WikidataQ59276325 ScholiaQ59276325MaRDI QIDQ512941

Esma Nur Cinicioglu, Prakash P. Shenoy

Publication date: 3 March 2017

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-012-1171-9

zbMATH Keywords

Bayesian networksRFIDheuristic for Bayesian networksreal-time recommendation systemstargeted advertising

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• Credal networks
• 10.1162/153244301753344614
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty
• Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates

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