Ponti, A.; Giordani, I.; Mistri, M.; Candelieri, A.; Archetti, F.
The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. Big Data Cogn. Comput. 2022, 6, 138.
https://doi.org/10.3390/bdcc6040138
AMA Style
Ponti A, Giordani I, Mistri M, Candelieri A, Archetti F.
The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. Big Data and Cognitive Computing. 2022; 6(4):138.
https://doi.org/10.3390/bdcc6040138
Chicago/Turabian Style
Ponti, Andrea, Ilaria Giordani, Matteo Mistri, Antonio Candelieri, and Francesco Archetti.
2022. "The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores" Big Data and Cognitive Computing 6, no. 4: 138.
https://doi.org/10.3390/bdcc6040138
APA Style
Ponti, A., Giordani, I., Mistri, M., Candelieri, A., & Archetti, F.
(2022). The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. Big Data and Cognitive Computing, 6(4), 138.
https://doi.org/10.3390/bdcc6040138