LRFM—based association rule mining for dentistry services patterns identification (case study: a dental center in Iran)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09416-x.pdf
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4. Carmona-Pírez J, Poblador-Plou B, Poncel-Falcó A, Rochat J, Alvarez-Romero C, Martínez-García A, Angioletti C, Almada M, Gencturk M, Sinaci AA, Ternero-Vega JE, Gaudet-Blavignac C, Lovis C, Liperoti R, Costa E, Parra-Calderón CL, Moreno-Juste A, Gimeno-Miguel A, Prados-Torres A (2022) Applying the FAIR4Health Solution to Identify Multimorbidity Patterns and Their Association with Mortality through a Frequent Pattern Growth Association Algorithm. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph19042040
5. Chaudhuri N, Gupta G, Vamsi V, Bose I (2021) On the platform but will they buy? Predicting customers’ purchase behavior using deep learning. Decis Support Syst 149:113622
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