Szczegóły publikacji
Opis bibliograficzny
Predicted distribution density estimation for streaming data / Piotr KULCZYCKI, Tomasz Rybotycki // W: Computational Science – ICCS 2021 : 21st International Conference : Krakow, Poland, June 16–18, 2021 : proceedings, Pt. 6 / eds. Maciej Paszyński, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12747. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-77979-5; e-ISBN: 978-3-030-77980-1. — S. 567–580. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-06-09. — P. Kulczycki - dod. afiliacja: Systems Research Institute, Polish Academy of Sciences, Warsaw
Autorzy (2)
- AGHKulczycki Piotr
- Rybotycki Tomasz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 134766 |
|---|---|
| Data dodania do BaDAP | 2021-06-28 |
| DOI | 10.1007/978-3-030-77980-1_43 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 21st International Conference on Computational Science |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Recent growth in interest concerning streaming data has been forced by the expansion of systems successively providing current measurements and information, which enables their ongoing, consecutive analysis. The subject of this research is the determination of a density function characterizing potentially changeable distribution of streaming data. Stationary and nonstationary conditions, as well as both appearing alternately, are allowed. Within the distribution-free procedure investigated here, when the data stream becomes nonstationary, the procedure begins to be supported by a forecasting apparatus. Atypical elements are also detected, after which the meaning of those connected with new tendencies strengthens, while diminishing elements weaken. The final result is an effective procedure, ready for use without studies and laborious research.