[1] John Stephen Kayode, Yusri Yusup,
"A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets ",
IEEE Dataport,
2020. [Online]. Available: http://dx.doi.org/10.21227/9s34-kc72. Accessed: Dec. 30, 2024.
@data{9s34-kc72-20,
doi = {10.21227/9s34-kc72},
url = {http://dx.doi.org/10.21227/9s34-kc72},
author = {John Stephen Kayode; Yusri Yusup },
publisher = {IEEE Dataport},
title = {A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets },
year = {2020} }
doi = {10.21227/9s34-kc72},
url = {http://dx.doi.org/10.21227/9s34-kc72},
author = {John Stephen Kayode; Yusri Yusup },
publisher = {IEEE Dataport},
title = {A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets },
year = {2020} }
TY - DATA
T1 - A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets
AU - John Stephen Kayode; Yusri Yusup
PY - 2020
PB - IEEE Dataport
UR - 10.21227/9s34-kc72
ER -
T1 - A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets
AU - John Stephen Kayode; Yusri Yusup
PY - 2020
PB - IEEE Dataport
UR - 10.21227/9s34-kc72
ER -
John Stephen Kayode, Yusri Yusup.
(2020).
A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets .
IEEE Dataport.
http://dx.doi.org/10.21227/9s34-kc72
John Stephen Kayode, Yusri Yusup,
2020.
A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets .
Available at:
http://dx.doi.org/10.21227/9s34-kc72.
John Stephen Kayode, Yusri Yusup.
(2020).
"A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets ."
Web.
1. John Stephen Kayode, Yusri Yusup.
A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets [Internet].
IEEE Dataport; 2020.
Available from :
http://dx.doi.org/10.21227/9s34-kc72
John Stephen Kayode, Yusri Yusup.
"A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets ."
doi:
10.21227/9s34-kc72