Szczegóły publikacji
Opis bibliograficzny
Identification of atypical (rare) elements - a conditional, distribution-free approach / Piotr KULCZYCKI, Małgorzata Charytanowicz, Piotr A. KOWALSKI, Szymon ŁUKASIK // IMA Journal of Mathematical Control and Information ; ISSN 0265-0754. — 2018 — vol. 35 iss. 3, s. 923–937. — Bibliogr. s. 937. — Publikacja dostępna online od: 2017-03-08. — P. Kulczycki, P. A. Kowalski, Sz. Łukasik - pierwsza afiliacja: Polish Academy of Sciences
Autorzy (4)
- AGHKulczycki Piotr
- Charytanowicz Małgorzata
- AGHKowalski Piotr Andrzej
- AGHŁukasik Szymon
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 118763 |
|---|---|
| Data dodania do BaDAP | 2019-01-16 |
| Tekst źródłowy | URL |
| DOI | 10.1093/imamci/dnx007 |
| Rok publikacji | 2018 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | IMA Journal of Mathematical Control and Information |
Abstract
The discovery of atypical elements has become one of the most important challenges in data analysis and exploration. At the same time it is not an easy matter with difficult conditions, and not even strictly defined. This article presents a ready-to-use procedure for identifying atypical elements in the sense of rarely occurring. The issue is considered in a conditional approach, where describing and conditioning variables can be multidimensional continuous with the second type also potentially categorical. The application of nonparametric concepts frees the investigated procedure from distributions of describing and conditioning variables. Ease of interpretation and completeness of the presented material lend themselves to the use of the worked out method in a wide range of tasks in various applications of data analysis in science and practice.
