An improvement of the state-of-the-art covariance-based methods for statistical anomaly detection algorithms
Crossref DOI link: https://doi.org/10.1007/s11760-015-0796-y
Published Online: 2015-07-15
Published Print: 2016-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fortunati, Stefano
Gini, Fulvio
Greco, Maria S.
Farina, Alfonso
Graziano, Antonio
Giompapa, Sofia
Text and Data Mining valid from 2015-07-15