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 |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.9 MB | Adobe PDF | View/Open |
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