Outlier Detection

Outlier Detection is a task of identifying a subset of a given data set which are considered anomalous in that they are unusual from other instances. It is one of the core data mining tasks and is central to many applications. In the security field, it can be used to identify potentially threatening users, in the manufacturing field it can be used to identify parts that are likely to fail.

Source: Coverage-based Outlier Explanation

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 671–680 of 703 papers

Title	Date	Tasks	Status
On Integrated Clustering and Outlier Detection	Dec 1, 2014	ClusteringOutlier Detection	—Unverified
Analysis of Learning from Positive and Unlabeled Data	Dec 1, 2014	General ClassificationOutlier Detection	—Unverified
Similarity- based approach for outlier detection	Nov 25, 2014	Outlier Detection	—Unverified
Motion Estimation via Robust Decomposition with Constrained Rank	Oct 22, 2014	Motion EstimationOutlier Detection	—Unverified
Breakdown Point of Robust Support Vector Machine	Sep 3, 2014	Outlier DetectionSensitivity	—Unverified
Evaluating Visual Properties via Robust HodgeRank	Aug 15, 2014	Graph SamplingOutlier Detection	—Unverified
A feature construction framework based on outlier detection and discriminative pattern mining	Jul 17, 2014	Dimensionality Reductionfeature selection	—Unverified
Geometric Tight Frame based Stylometry for Art Authentication of van Gogh Paintings	Jul 2, 2014	ClassificationGeneral Classification	—Unverified
Robust Outlier Detection Technique in Data Mining: A Univariate Approach	Jun 19, 2014	Outlier Detection	—Unverified
Finding Inner Outliers in High Dimensional Space	May 5, 2014	Outlier DetectionVocal Bursts Intensity Prediction	—Unverified

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All datasets ECG5000 Balance scale_class 1 Breast cancer Wisconsin_class 2 Breast cancer Wisconsin_class 4 Fashion-MNIST Glass identification Heart-C Hepatitis Internet Ad Ionosphere_class b SKAB

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	VRAE+SVM	Accuracy	0.98	—	Unverified
2	F-t ALSTM-FCN	Accuracy	0.95	—	Unverified
3	GENDIS	Accuracy	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	37.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	65.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PAE	AUROC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	86.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTMCaps	Average F1	0.74	—	Unverified