Drift Severity Metric

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Petr Kosina (Author) Other; João Gama (Author) FEP; Raquel Sebastião (Author) Other

Conference proceedings International

Title: ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

Pages: 1119-1120

19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS)

Lisbon, PORTUGAL, AUG 16-20, 2010

Indexing

ISI Proceedings

ISI Web of Knowledge - 10 Citations

Scopus - 13 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Physical sciences > Computer science

Other information

Authenticus ID: P-007-VA3

DOI: 10.3233/978-1-60750-606-5-1119

Abstract (EN): Concept drift in data is usually considered only as abrupt or gradual thus referring to the speed of change. Such simple distinguishing by speed is sufficient for most of the problems, but there might be situations for which a finer representation would be of use. This paper studies further the phenomenon of concept drift and introduces a simple measure which is relevant to the speed and amount of change between different concepts.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2