In the ELT process, extracted data is first loaded into the target system, and transformations are applied in the target system. The destination system for an ELT pipeline is most likely a data lake, though it can also be a data warehouse. Helps process large sets of unstructured and non...
UNS classifiers do not use labels during training, i.e., they are not aware of whether a data point is an attack. In contrast, SUP and DEEP classifiers need labeled data points during training. The SUP and DEEP classifiers are both supervised classifiers, and the latter uses deep neural ...