Author:
Kanoun Yassine,Mrad Hatem,Zouari Bassem,Belem Tikou
Publisher
Springer International Publishing
Reference11 articles.
1. Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. ACM SIGMOD Rec. 29(2), 93–104 (2000). https://doi.org/10.1145/335191.335388
2. Chen, S., Wang, W., van Zuylen, H.: A comparison of outlier detection algorithms for ITS data. Expert Syst. Appl. 37(2), 1169–1178 (2010). https://doi.org/10.1016/j.eswa.2009.06.008
3. Dang, T.T., Ngan, H.Y.T., Liu, W.: Distance-based k-nearest neighbors outlier detection method in large-scale traffic data. In: 2015 IEEE International Conference on Digital Signal Processing (DSP), pp. 507–510 (2015). https://doi.org/10.1109/ICDSP.2015.7251924
4. Davis, P.M., et al.: Performance of European crosscountry oil pipelines - statistical summary of reported spillages in 2010 and since 1971 (2011)
5. Karimi, Z.: Confusion Matrix (2021)