Περίληψη:
Telecommunications fraud is increasing
dramatically each year resulting in loss of a large amount of
euros worldwide. A statistical machine learning method is
presented that constructs user profiles for the detection of
fraudulent activities in telecommunications networks. The
approach presented here can be used for the detection of
superimposed or hacking fraud, works well for mid-term
decisions and cannot be used for on-line account comparison.