Depths to the various subsurface anomalies have been the primary interest in all the applications of magnetic methods of geophysical prospection. Depths to the subsurface geologic features of interest are more valuable and superior to all other properties in any correct subsurface geologic structural interpretations.

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Documentation: 
[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.
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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
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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