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Machine learning for house pricing: evaluating categorical encoders and price correction indexes on real transaction data

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Machine learning for house pricing: evaluating categorical encoders and price correction indexes on real transaction data
Συγγραφείς: Pita, Romário ParreiraAff1, Carvalho, Aldo Ribeiro deAff1, IDs0052102511575x_cor1, Castro, Júlia Assumpção deAff1, Paixão, Rafael Christian Fonseca deAff2, Cury, Alexandre AbrahãoAff3, Mendes, Julia CastroAff1, Aff3
Πηγή: Neural Computing and Applications. 37(30):25229-25256
Βάση Δεδομένων: Springer Nature Journals
Περιγραφή
ISSN:09410643
14333058
DOI:10.1007/s00521-025-11575-x