Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22412
Title: A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty
Authors: Lai, CS
Tao, Y
Xu, F
Ng, WWY
Jia, Y
Yuan, H
Huang, C
Lai, LL
Xu, Z
Locatelli, G
Keywords: Pearson product-moment correlation;imbalanced data;clearness index;dichotomous variable
Issue Date: 1-Jan-2019
Publisher: Elsevier
Citation: Lai, C.S., Tao, Y., Xu, F., Ng, W.W.Y., Jia, Y., Yuan, H., Huang, C., Lai, L.L., Xu, Z. and Locatelli, G. (2019) 'A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty', Information Sciences, 470, pp. 58 - 77. doi: https://doi.org/10.1016/j.ins.2018.08.017.
URI: https://bura.brunel.ac.uk/handle/2438/22412
DOI: https://doi.org/10.1016/j.ins.2018.08.017
ISSN: 0020-0255
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdf1.9 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.