On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
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Efficiency of different measures for defining the applicability domain of classification models.The (black) art of runtime evaluation: Are we comparing algorithms or implementations?Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier DetectionRaspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
description
im Januar 2016 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 2016
@uk
name
On the evaluation of unsupervi ...... tasets, and an empirical study
@en
On the evaluation of unsupervi ...... tasets, and an empirical study
@nl
type
label
On the evaluation of unsupervi ...... tasets, and an empirical study
@en
On the evaluation of unsupervi ...... tasets, and an empirical study
@nl
prefLabel
On the evaluation of unsupervi ...... tasets, and an empirical study
@en
On the evaluation of unsupervi ...... tasets, and an empirical study
@nl
P2093
P2860
P50
P1476
On the evaluation of unsupervi ...... tasets, and an empirical study
@en
P2093
Barbora Micenková
Guilherme O. Campos
Jörg Sander
Michael E. Houle
P2860
P2888
P304
P356
10.1007/S10618-015-0444-8
P577
2016-01-16T00:00:00Z
P6179
1031146539