Blar i Publikasjoner fra Cristin på emneord "Data mining"
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Efficient quantile tracking using an oracle
(Applied intelligence (Boston);, Peer reviewed; Journal article, 2022-04-14)Concept drift is a well-known issue that arises when working with data streams. In this paper, we present a procedure that allows a quantile tracking procedure to cope with concept drift. We suggest using expected quantile ... -
Joint tracking of multiple quantiles through conditional quantiles
(Information Sciences;Volume 563, July 2021, Peer reviewed; Journal article, 2021-03-05)The estimation of quantiles is one of the most fundamental data mining tasks. As most real-time data streams vary dynamically over time, there is a quest for adaptive quantile estimators. The most well-known type of adaptive ...