RWTH Aachen University
Pattern mining is an important area of data mining and it has been growing rapidly over the two past decades. Periodicity detection is an important temporal data mining problem with different applicability. In this paper, the authors raise a problem of periodic sets detection and suggest the method for its solution. Several existing algorithms for the mining of periodic events are considered in detail and a new approach is proposed in the paper. The comparison of the algorithms and their performance are demonstrated through a series of experiments.