TY - JOUR
T1 - Correction to
T2 - Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers’ purchasing behavior (Neural Computing and Applications, (2022), 34, 21, (18525-18541), 10.1007/s00521-022-07418-8)
AU - Hasumoto, Kyosuke
AU - Goto, Masayuki
N1 - Publisher Copyright:
© Springer-Verlag London Ltd., part of Springer Nature 2022.
PY - 2022/11
Y1 - 2022/11
N2 - In this online published article, a format of few entries of Tables 4 to 7 were corrected. The Corrected tables were given below (Tables 4, 5, 6, 7): (Table presented.).
AB - In this online published article, a format of few entries of Tables 4 to 7 were corrected. The Corrected tables were given below (Tables 4, 5, 6, 7): (Table presented.).
UR - http://www.scopus.com/inward/record.url?scp=85135871751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135871751&partnerID=8YFLogxK
U2 - 10.1007/s00521-022-07610-w
DO - 10.1007/s00521-022-07610-w
M3 - Comment/debate
AN - SCOPUS:85135871751
SN - 0941-0643
VL - 34
SP - 18543
EP - 18544
JO - Neural Computing and Applications
JF - Neural Computing and Applications
IS - 21
ER -