Hands-On Artificial Intelligence for Cybersecurity

Predicting the unpredictable

The task of predictive analytics is to reveal hidden patterns, identifying latent trends within the data. To this end, it is necessary to combine various data mining and machine learning (ML) methodologies in order to exploit sets of structured and unstructured data from the various heterogeneous information sources available to the organization.

This way, it is possible to translate the raw data into actionable predictive responses, applying different automated learning algorithms to the data.

Different algorithms will obviously provide different results in terms of predictive accuracy.

As we have seen in the previous chapters, classification algorithms are particularly suitable when we have to manage discrete ...