Efficient algorithms for mining outliers from large data sets
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Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier DetectionA Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data.A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis.On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical studyIntrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier DetectionOutlier DetectionOn the internal evaluation of unsupervised outlier detection
P2860
Q29394423-7740E6A0-A904-48D0-A9A9-140CC361C0CFQ31080856-8FFB891B-B8D1-4093-82BD-88DDD207A762Q50783111-0D6571F0-9438-4CE2-A7B7-52246E8B694EQ55882317-78F97AA1-DB2C-4498-B347-9762BB5ABE73Q56873573-7A0507FD-BD2B-4727-ACA4-C894D3B0B04EQ57535600-25E2C557-9C9F-4485-9C6A-D49B86051C90Q58799499-59B43222-52D5-4EFD-996B-AC6C9E8DE4CF
P2860
Efficient algorithms for mining outliers from large data sets
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2000
@uk
name
Efficient algorithms for mining outliers from large data sets
@en
Efficient algorithms for mining outliers from large data sets
@nl
type
label
Efficient algorithms for mining outliers from large data sets
@en
Efficient algorithms for mining outliers from large data sets
@nl
prefLabel
Efficient algorithms for mining outliers from large data sets
@en
Efficient algorithms for mining outliers from large data sets
@nl
P2093
P356
P1476
Efficient algorithms for mining outliers from large data sets
@en
P2093
Kyuseok Shim
Rajeev Rastogi
Sridhar Ramaswamy
P356
10.1145/342009.335437
P577
2000-01-01T00:00:00Z