Concept Drift Detection Based on Typicality and Eccentricity
Yuri Thomas P. Nunes,
Luiz Affonso Guedes
Abstract:Many applications and fields produce a vast quantity of time-relevant or continuously changing data which may represent new phenomena. This data stream behavior is known as Concept Drift. The need to efficiently and accurately process online data streams is a current need in many areas. Concept drift is a cause of performance degradation of classical machine learning approaches. It is necessary to address the concept drift to deploy real-world applications fed by data streams. This work presents a perspective … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.