Fuzzy Approach for Detection of Anomalies in Time Series
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Kiersztyn Adam, Karczmarek Paweł |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 397 - 406 |
| Web of Science® Times Cited: | 5 |
| Scopus® Cytowania: | 5 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Detecting and removing anomalies in the time series describing physical phenomena is a big challenge faced by scientists from many fields. The aim of the article is to present the assumptions of a tool for the detection of anomalies related to any issue. The proposed universal solution based on fuzzy logic and multicriteria can be applied to any time series. Through the use of aggregation of various approaches, a universal tool based on expert knowledge was obtained. The framework was tested on the energy consumption logs received from a telecommunications company and historical data from the records from the parish registers |
