Machine Learning in Java - Second Edition

Suspicious pattern detection

The first approach involves a behavior library that encodes negative patterns, shown as red minus signs in the following diagram, and recognizes that observed behavior corresponds to identifying a match in the library. If a new pattern can be matched against negative patterns, then it is considered suspicious:

For example, when you visit a doctor, he/she inspects various health symptoms (body temperature, pain levels, affected areas, and so on) and matches the symptoms to a known disease. In machine learning terms, the doctor collects attributes and performs classifications.

An advantage of this approach is that ...