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- Mass_estimation abstract "In data mining, mass estimation is a recently proposed data modelling mechanism, as an alternative to density estimation, to solve data mining problems. Unlike density estimation, it models data distribution without using distance measure. Mass estimation has been successfully applied in solving different data mining tasks such as anomaly detection, clustering, information retrieval, classification and regression. Mass-based data mining methods often perform better than or at least as well as the state-of-the-art methods, but they run orders of magnitude faster than their distance/density-based counterparts. It is because mass is more fundamental than density (density = mass/volume) which can be estimated more efficiently.".
- Mass_estimation thumbnail 1D_Mass.png?width=300.
- Mass_estimation wikiPageID "42160149".
- Mass_estimation wikiPageRevisionID "600413990".
- Mass_estimation subject Category:Data_mining.
- Mass_estimation comment "In data mining, mass estimation is a recently proposed data modelling mechanism, as an alternative to density estimation, to solve data mining problems. Unlike density estimation, it models data distribution without using distance measure. Mass estimation has been successfully applied in solving different data mining tasks such as anomaly detection, clustering, information retrieval, classification and regression.".
- Mass_estimation label "Mass estimation".
- Mass_estimation sameAs m.0_yf98r.
- Mass_estimation sameAs Q17103573.
- Mass_estimation sameAs Q17103573.
- Mass_estimation wasDerivedFrom Mass_estimation?oldid=600413990.
- Mass_estimation depiction 1D_Mass.png.
- Mass_estimation isPrimaryTopicOf Mass_estimation.
