Context-based abrupt change detection and adaptation for categorical data streams
Context-based abrupt change detection and adaptation for categorical data streams
DOI | Resolve DOI: https://doi.org/10.1007/978-3-319-67786-6_1 |
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Author | Search for: D’ettorre, Sarah; Search for: Viktor, Herna L.; Search for: Paquet, Eric1 |
Name affiliation |
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Format | Text, Book chapter |
Book title | Discovery Science |
Series title | Lecture Notes in Computer Science; no. 10558 |
ISSN | 0302-9743 1611-3349 |
ISBN | 978-3-319-67785-9 978-3-319-67786-6 |
Pages | 3–17 |
Subject | data streams; categorical data; concept drift; context-based change detection; unsupervised learning; ensembles; online learning |
Abstract | |
Publication date | 2017-09-16 |
Publisher | Springer Springer |
Language | English |
Peer reviewed | Yes |
NPARC number | 23002678 |
Export citation | Export as RIS |
Report a correction | Report a correction | Record identifier | 726339b4-e95e-4473-9f1e-fb8671ed4b0e |
Record created | 2017-12-20 |
Record modified | 2020-06-18 |