TY  - GEN 
AU  - García Gil, Diego Jesús
AU  - López, David
AU  - Argüelles-Martino, Daniel
AU  - Carrasco Castillo, Jacinto
AU  - Aguilera Martos, Ignacio
AU  - Luengo Martín, Julián
AU  - Herrera Triguero, Francisco
PY  - 2025
UR  - https://hdl.handle.net/10481/102154
AB  - Background: Anomaly detection is the process of identifying observations that differ greatly from
the majority of data. Unsupervised anomaly detection aims to find outliers in data that is not
labeled, therefore, the anomalous instances are unknown....
LA  - eng
PB  - Elsevier
KW  - Big Data
KW  - Anomaly detection
KW  - Outlier detection
KW  - Unsupervised learning
TI  - Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package
DO  - 10.1016/j.ins.2024.121587
ER  -