Szczegóły publikacji
Opis bibliograficzny
Data classification with ensembles of one-class support vector machines and sparse nonnegative matrix factorization / Bogusław CYGANEK, Bartosz Krawczyk // W: Intelligent information and database systems : 7th Asian Conference, ACIIDS 2015 : Bali, Indonesia, March 23–25, 2015 : proceedings, Pt. 1 / eds. Ngoc Thanh Nguyen, Bogdan Trawiński, Raymond Kosala. — Cham ; [etc.] : Springer, cop. 2015. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 9011). — ISBN: 978-3-319-15701-6; e-ISBN: 978-3-319-15702-3. — S. 526–535. — Bibliogr. s. 534–535, Abstr.
Autorzy (2)
- AGHCyganek Bogusław
- Krawczyk Bartosz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 89274 |
|---|---|
| Data dodania do BaDAP | 2015-06-23 |
| DOI | 10.1007/978-3-319-15702-3_51 |
| Rok publikacji | 2015 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Asian Conference on Intelligent Information and Database Systems 2015 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
The paper presents a method for data classification with ensemble of one-class classifiers based on data segmentation. Each data class is partitioned with the nonnegative matrix factorization (NMF) algorithm with sparse constraints. It allows splitting of the input data into compact and consistent data clusters with automatic determination of a number of clusters. Data partitions are fed to an ensemble composed of a number of one-class support vector machine (SVM) classifiers. The proposed method shows high accuracy and fast classification. © Springer International Publishing Switzerland 2015
