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, we raise a problem of periodic sets detection and suggest the method for its solution. The existing algorithms for th...

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Bibliographic Details
Main Author: Ekaterina Ivannikova
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
Series:Труды Института системного программирования РАН
Subjects:
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/987
Description
Summary: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, we 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.
ISSN:2079-8156
2220-6426