Periodic Event Sets Detection in Temporal Databases
Temporal data regularity is an important data property that can be used in different applications. Such regularity is explored in the field of periodic pattern mining. In this paper, the authors raise a problem of periodic sets detection and suggest the method for its solution. The existing algorithms for the periodic event mining 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.