Results 281 to 290 of about 4,573,641 (310)

Multivariate outlier detection

1980
The concepts of parametric outlier testing extend with some difficulty but only relatively minor modification to multivariate data. Suppose that X 1, X 2, . . . , X n are n vectors ofp components, the null hypothesis being that they are a random sample from the multivariate normal distribution with mean vector ξ and covariance matrix ∑ $$ H_0 ...
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Outlier Detection

2008
Yufeng Kou, Chang-Tien Lu
openaire   +1 more source

A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

Big Data and Cognitive Computing, 2021
Omar Alghushairy, Raed Ai Alsini, Terence Soule   +2 more
exaly  

Outlier Detection

2012
Jiawei Han, Micheline Kamber, Jian Pei
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Outlier Detection

2017
Zimek, Arthur, Schubert, Erich
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A multi-source information fusion model for outlier detection

Information Fusion, 2023
Trli30
exaly  

Outlier Detection

2016
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Outlier and influence diagnostics for meta-analysis

Research Synthesis Methods, 2010
Wolfgang Viechtbauer, Mike W-L Cheung
exaly  

Unsupervised outlier detection

Η ανίχνευση ανωμαλιών κατέχει καίρια θέση σε πολλούς τομείς, όπως η αναγνώριση απάτης, η ασφάλεια δικτύων και η ιατρική διάγνωση. Ωστόσο, η διαδικασία επιλογής μοντέλου και η ερμηνευσιμότητα των αποτελεσμάτων αποτελούν σημαντικές προκλήσεις, ιδίως σε περιβάλλοντα μη επιβλεπόμενης μάθησης, όπου απουσιάζουν ετικετοποιημένα δεδομένα.
openaire   +1 more source

Robust statistics for outlier detection

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2011
Peter J Rousseeuw, Mia Hubert
exaly