A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores
type: Item
instance of: scholarly article
title: A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores
zbMATH Open document ID: 1357.90024
author: Esma Nur Cinicioglu
author: Prakash P. Shenoy
published in: Annals of Operations Research
publication date: 2017-03-03T00:00:00Z
Mathematics Subject Classification ID: 90B15
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6691217
zbMATH Keywords: Bayesian networks
zbMATH Keywords: heuristic for Bayesian networks
zbMATH Keywords: RFID
zbMATH Keywords: real-time recommendation systems
zbMATH Keywords: targeted advertising
MaRDI profile type: Publication
full work available at URL: s10479-012-1171-9
OpenAlex ID: W1973733304
Wikidata QID: Q59276325
cites work: Credal networks
cites work: Dependency networks for inference, collaborative filtering, and data visualization
cites work: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
cites work: Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates
DOI: 10.1007/S10479-012-1171-9
description: scientific article; zbMATH DE number 6691217