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Outlier detection aims to identify unusual data instances that deviate from expected patterns.
Exploratory data analysis, 1977
J. Tukey · 1977
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A simple sequentially rejective multiple test procedure
S. Holm · 1979
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Identification of Outliers
D. Hawkins · 1980
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Least median of squares regression
P. J. Rousseeuw · 1984
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Unmasking multivariate outliers and leverage points
P. J. Rousseeuw and B. C. v. Zomeren · 1990
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Computing depth contours of bivariate point clouds
I. Ruts and P. J. Rousseeuw · 1996
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Birch: an efficient data clustering method for very large databases
T. Zhang, R. Ramakrishnan, and M. Livny · 1996
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Adaptive fraud detection
T. Fawcett and F. Provost · 1997
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A unified approach for mining outliers
E. M. Knorr and R. T. Ng · 1997
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Fast computation of 2-dimensional depth contours, 1998
T. Johnson, I. Kwok, and R. Ng · 1998
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Support vector method for novelty detection
B. Schölkopf, R. C. Williamson, A. J. Smola, J. Shawe-Taylor, and J. C. Platt · 1999
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Lof: identifying density-based local outliers
M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander · 2000
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Outlier detection for high dimensional data
C. C. Aggarwal and P. S. Yu · 2001
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Knowledge discovery in multi-label phenotype data
A. Clare and R. D. King · 2001
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Mining top-n local outliers in large databases
W. Jin, A. K. Tung, and J. Han · 2001
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Fast outlier detection in high dimensional spaces
F. Angiulli and C. Pizzuti · 2002
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Statistical fraud detection: A review
R. J. Bolton and D. J. Hand · 2002
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Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
P. Duygulu, K. Barnard, J. de Freitas, and D. Forsyth · 2002
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Undermining an anomaly-based intrusion detection system using common exploits
K. Tan, K. Killourhy, and R. Maxion · 2002
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Enhancing effectiveness of outlier detections for low density patterns
J. Tang, Z. Chen, A. W.-C. Fu, and D. W.-L. Cheung · 2002
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Mining distance-based outliers in near linear time with randomization and a simple pruning rule
S. D. Bay and M. Schwabacher · 2003
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Sufficient dimensionality reduction with irrelevance statistics
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Novelty detection: A review—part 1: Statistical approaches
M. Markou and S. Singh · 2003
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Loci: Fast outlier detection using the local correlation integral
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Bayesian network anomaly pattern detection for disease outbreaks
W.-K. Wong, A. Moore, G. Cooper, and M. Wagner · 2003
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Learning multi-label scene classification
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Conditional anomaly detection
X. Song, M. Wu, C. Jermaine, and S. Ranka · 2007
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Multilabel text classification for automated tag suggestion
I. Katakis, G. Tsoumakas, and I. Vlahavas · 2008
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Angle-based outlier detection in high-dimensional data
H.-P. Kriegel, M. S hubert, and A. Zimek · 2008
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Anomaly detection: A survey
V. Chandola, A. Banerjee, and V. Kumar · 2009
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Anomaly-based network intrusion detection: Techniques, systems and challenges
P. Garcia-Teodoro, J. Diaz-Verdejo, G. Maciá-Fernández, and E. Vázquez · 2009
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Non-linear matrix factorization with gaussian processes
N. D. Lawrence and R. Urtasun · 2009
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A multivariate outlier detection method
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A survey of outlier detection methodologies
V. Hodge and J. Austin · 2004
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Rcv1: A new benchmark collection for text categorization research
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li · 2004
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On-line outlier detection and data cleaning
H. Liu, S. Shah, and W. Jiang · 2004
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Protein classification with multiple algorithms
S. Diplaris, G. Tsoumakas, P. A. Mitkas, and I. Vlahavas · 2005
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Maximal margin labeling for multi-topic text categorization
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Bayesian exponential family pca
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Classifier chains for multi-label classification
J. Read, B. Pfahringer, G. Holmes, and E. Frank · 2009
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Outlier detection techniques
H.-P. Kriegel, P. Kröger, and A. Zimek · 2010
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A comprehensive survey of data mining-based accounting-fraud detection research
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Outlier detection and countermeasure for hierarchical wireless sensor networks
Y.-Y. Zhang, H.-C. Chao, M. Chen, L. Shu, C.-H. Park, and M.-S. Park · 2010
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Conditional anomaly detection with soft harmonic functions
M. Valko, B. Kveton, H. Valizadegan, G. F. Cooper, and M. Hauskrecht · 2011
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Uncovering the riffled independence structure of ranked data
J. Huang, C. Guestrin, et al · 2012
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An efficient probabilistic framework for multi-dimensional classification
I. Batal, C. Hong, and M. Hauskrecht · 2013
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Outlier detection for patient monitoring and alerting
M. Hauskrecht, I. Batal, M. Valko, S. Visweswaran, G. F. Cooper, and G. Clermont · 2013
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A review on multi-label learning algorithms
M. Zhang and Z. Zhou · 2013
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Dependent binary relevance models for multi-label classification
E. Montañes, R. Senge, J. Barranquero, J. Ramón Quevedo, J. José Del Coz, and E. Hüllermeier · 2014
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A review of novelty detection
M. Pimentel, D. Clifton, L. Clifton, and L. Tarassenko · 2014
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A generalized mixture framework for multi-label classification
C. Hong, I. Batal, and M. Hauskrecht · 2015
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