메뉴 건너뛰기




Volumn 1, Issue 3, 2011, Pages 261-268

Outlier detection

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; STATISTICS;

EID: 84866447964     PISSN: 19424787     EISSN: 19424795     Source Type: Journal    
DOI: 10.1002/widm.19     Document Type: Article
Times cited : (54)

References (64)
  • 2
    • 0012607033 scopus 로고
    • The most probable choice between several discrepant observations and the formation therefrom of the most likely induction, C.
    • Bernoulli D. The most probable choice between several discrepant observations and the formation therefrom of the most likely induction, in C. G. Allen (1961), Biometrika 1777, 48:3-13.
    • (1777) G. Allen (1961), Biometrika , vol.48 , pp. 3-13
    • Bernoulli, D.1
  • 4
    • 0004169830 scopus 로고
    • Outliers in Statistical Data
    • New York, NY: John Wiley & Sons
    • Barnett V, Lewis T. Outliers in Statistical Data. New York, NY: John Wiley & Sons; 1994.
    • (1994)
    • Barnett, V.1    Lewis, T.2
  • 5
    • 84972496372 scopus 로고
    • Influential observations, high leverage points, and outliers in linear regression
    • Chatterjee S, Hadi AS. Influential observations, high leverage points, and outliers in linear regression. Stat Sci 1986, 1:379-416.
    • (1986) Stat Sci , vol.1 , pp. 379-416
    • Chatterjee, S.1    Hadi, A.S.2
  • 6
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • Hodge VJ, Austin J. A survey of outlier detection methodologies. Artif Intell Rev 2004, 22:85-126. 7. Chandola V, Banerjee A, Kumar V. Anomaly detection: a survey, ACM Comput Surv 2009, 41, Article 15:1-58.
    • (2004) Artif Intell Rev , vol.22 , pp. 85-126
    • Hodge, V.J.1    Austin, J.2
  • 11
    • 77954331149 scopus 로고    scopus 로고
    • Havinga PJM A taxonomy framework for unsupervised outlier detection techniques for multi-type data sets
    • Centre for Telematics and Information Technology University of Twente, Enschede, ISSN
    • Zhang Y, Meratnia N, Havinga PJM A taxonomy framework for unsupervised outlier detection techniques for multi-type data sets. Technical Report TR-CTIT-07-79, Centre for Telematics and Information Technology University of Twente, Enschede; 2007. ISSN 1381-3625.
    • (2007) Technical Report TR-CTIT-07-79 , pp. 1381-3625
    • Zhang, Y.1    Meratnia, N.2
  • 13
    • 0001661419 scopus 로고
    • Analysis of extreme values
    • Dixon WJ. Analysis of extreme values. Annal Math Stat 1950, 21:488-506.
    • (1950) Annal Math Stat , vol.21 , pp. 488-506
    • Dixon, W.J.1
  • 15
    • 0002794255 scopus 로고
    • Sample criteria for testing outlying observations
    • Grubbs FE. Sample criteria for testing outlying observations. Annal Math Stat 1950, 21:27-58.
    • (1950) Annal Math Stat , vol.21 , pp. 27-58
    • Grubbs, F.E.1
  • 17
    • 0030344143 scopus 로고    scopus 로고
    • Identification of outliers in multivariate data
    • Rocke DM, Woodruff DL. Identification of outliers in multivariate data. J Am Stat Assoc 1996, 91:1047-1061.
    • (1996) J Am Stat Assoc , vol.91 , pp. 1047-1061
    • Rocke, D.M.1    Woodruff, D.L.2
  • 18
    • 62849125298 scopus 로고    scopus 로고
    • Finding an unknown number of multivariate outliers
    • RianiM, Atkinson AC, Cerioli A. Finding an unknown number of multivariate outliers. J Royal Stat Soc B 2009, 71:447-466.
    • (2009) J Royal Stat Soc B , vol.71 , pp. 447-466
    • Riani, M.1    Atkinson, A.C.2    Cerioli, A.3
  • 20
    • 0003442487 scopus 로고
    • Rules for rejection of outliers
    • Ferguson TS. Rules for rejection of outliers. Rev Inst Int de Stat 1961b, 29:29-43.
    • (1961) Rev Inst Int de Stat , vol.29 , pp. 29-43
    • Ferguson, T.S.1
  • 21
    • 0000640346 scopus 로고
    • Multivariate statistical outliers
    • Wilks SS. Multivariate statistical outliers. Sankhya A 1963, 25:407-426.
    • (1963) Sankhya A , vol.25 , pp. 407-426
    • Wilks, S.S.1
  • 22
    • 0002564033 scopus 로고
    • Multivariate estimation with high breakdown point
    • Grossmann W, Pflug G, Vincze I, Wertz W, eds. Dordrecht: Reidel Publishing Company
    • Rousseeuw PJ. Multivariate estimation with high breakdown point. In: Grossmann W, Pflug G, Vincze I, Wertz W, eds. Mathematical Statistics and Applications, Vol B. Dordrecht: Reidel Publishing Company; 1985, 283-297.
    • (1985) Mathematical Statistics and Applications , vol.B , pp. 283-297
    • Rousseeuw, P.J.1
  • 23
    • 0001352378 scopus 로고
    • Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
    • Lopuhää HP, Rousseeuw PJ. Breakdown points of affine equivariant estimators of multivariate location and covariance matrices. Annal Stat 1991, 19:229-248.
    • (1991) Annal Stat , vol.19 , pp. 229-248
    • Lopuhää, H.P.1    Rousseeuw, P.J.2
  • 24
    • 0034282347 scopus 로고    scopus 로고
    • BACON: blocked adaptive computationally-efficient outlier nominators
    • Billor N, Hadi AS, Velleman PF. BACON: blocked adaptive computationally-efficient outlier nominators. Comput Stat Data Anal 2000, 34:279-298.
    • (2000) Comput Stat Data Anal , vol.34 , pp. 279-298
    • Billor, N.1    Hadi, A.S.2    Velleman, P.F.3
  • 25
    • 14644423912 scopus 로고    scopus 로고
    • Outlier mining in large highdimensional data sets
    • Angiulli F, Pizzuti C. Outlier mining in large highdimensional data sets. IEEE Trans Knowl Data Eng 2005, 17:203-215.
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , pp. 203-215
    • Angiulli, F.1    Pizzuti, C.2
  • 26
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outliers: algorithms and applications
    • Knorr EM, Ng RT, Tucakov V. Distance-based outliers: algorithms and applications. VLDB J 2000, 8:237-253.
    • (2000) VLDB J , vol.8 , pp. 237-253
    • Knorr, E.M.1    Ng, R.T.2    Tucakov, V.3
  • 31
    • 33646553013 scopus 로고    scopus 로고
    • Fast distributed outlier detection in mixed-attribute data sets
    • Otey ME, Ghoting A, Parthasarathy SS. Fast distributed outlier detection in mixed-attribute data sets. Data Min Knowl Discov 2005, 12:203-228.
    • (2005) Data Min Knowl Discov , vol.12 , pp. 203-228
    • Otey, M.E.1    Ghoting, A.2    Parthasarathy, S.S.3
  • 32
    • 0024062382 scopus 로고
    • Detecting outlying cells in two-way contingency tables via backwards stepping
    • Simonoff JS. Detecting outlying cells in two-way contingency tables via backwards stepping. Technometrics 1988, 30:339-345.
    • (1988) Technometrics , vol.30 , pp. 339-345
    • Simonoff, J.S.1
  • 33
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Mach Learn 2001, 45:5-32.
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 34
    • 13444287831 scopus 로고    scopus 로고
    • ROBPCA: a new approach to robust principal components analysis
    • Hubert M, Rousseeuw PJ, Branden KV. ROBPCA: a new approach to robust principal components analysis. Technometrics 2005, 47:64-79.
    • (2005) Technometrics , vol.47 , pp. 64-79
    • Hubert, M.1    Rousseeuw, P.J.2    Branden, K.V.3
  • 37
    • 33747335915 scopus 로고    scopus 로고
    • Data warehousing and data mining techniques for intrusion detection
    • Singhal A, Jajodia S. Data warehousing and data mining techniques for intrusion detection. Distrib Parallel Database 2006, 20:149-166.
    • (2006) Distrib Parallel Database , vol.20 , pp. 149-166
    • Singhal, A.1    Jajodia, S.2
  • 38
    • 78149439885 scopus 로고    scopus 로고
    • The Elements of Statistical Learning: Data Mining
    • 2nd ed. New York, NY: Springer
    • Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. New York, NY: Springer; 2009.
    • (2009) Inference, and Prediction
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 39
    • 0017156034 scopus 로고
    • Regression analysis of the log odds ratio: a method for retrospective studies
    • Breslow NE. Regression analysis of the log odds ratio: a method for retrospective studies. Biometrics 1976, 32:409-416.
    • (1976) Biometrics , vol.32 , pp. 409-416
    • Breslow, N.E.1
  • 41
  • 44
    • 77953128244 scopus 로고    scopus 로고
    • Semi-supervised outlier detection based on fuzzy rough C-means clustering
    • Xue Z, Shang Y, Feng A. Semi-supervised outlier detection based on fuzzy rough C-means clustering. Math Comput Simul 2010, 80:1911-1921.
    • (2010) Math Comput Simul , vol.80 , pp. 1911-1921
    • Xue, Z.1    Shang, Y.2    Feng, A.3
  • 47
    • 50549095068 scopus 로고    scopus 로고
    • Weakly supervised learning of a classifier for unusual event detection
    • Jager M, Knoll C, Hamprecht FA. Weakly supervised learning of a classifier for unusual event detection. IEEE Trans Image Process 2008, 17:1700-1708.
    • (2008) IEEE Trans Image Process , vol.17 , pp. 1700-1708
    • Jager, M.1    Knoll, C.2    Hamprecht, F.A.3
  • 48
    • 42649106507 scopus 로고    scopus 로고
    • Infinite hidden Markov models for unusual-event detection in video
    • Preteanu-Malinici I, Carin L. Infinite hidden Markov models for unusual-event detection in video. IEEE Trans Image Process 2008, 17:811-822.
    • (2008) IEEE Trans Image Process , vol.17 , pp. 811-822
    • Preteanu-Malinici, I.1    Carin, L.2
  • 50
    • 84952094529 scopus 로고
    • Detection of influential observations in linear regression
    • Cook RD. Detection of influential observations in linear regression. Technometrics 1977, 19:15-18.
    • (1977) Technometrics , vol.19 , pp. 15-18
    • Cook, R.D.1
  • 51
    • 0001077032 scopus 로고
    • Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods
    • Efron B. Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods. Biometrika 1981, 68:589-599.
    • (1981) Biometrika , vol.68 , pp. 589-599
    • Efron, B.1
  • 52
    • 0001673027 scopus 로고
    • Jackknife, bootstrap, and other resampling methods in regression analysis
    • Wu J. Jackknife, bootstrap, and other resampling methods in regression analysis. Annal Stat 1986, 14:1261-1295.
    • (1986) Annal Stat , vol.14 , pp. 1261-1295
    • Wu, J.1
  • 53
    • 77949505466 scopus 로고    scopus 로고
    • Regression diagnostics for complex survey data: identification of influetial observations
    • University of Maryland
    • Li J. Regression diagnostics for complex survey data: identification of influetial observations. Unpublished Doctoral Dissertation, Joint Program in Survey Methodology, University of Maryland; 2007.
    • (2007) Unpublished Doctoral Dissertation, Joint Program in Survey Methodology
    • Li, J.1
  • 54
    • 21344485226 scopus 로고
    • Procedures for the identification of multiple outliers in linear models
    • Hadi AS, Simonoff JS. Procedures for the identification of multiple outliers in linear models. J Am Stat Assoc 1993, 88:1264-1272.
    • (1993) J Am Stat Assoc , vol.88 , pp. 1264-1272
    • Hadi, A.S.1    Simonoff, J.S.2
  • 55
    • 84945952294 scopus 로고
    • The Identification of multiple outliers
    • Davies L, Gather U. The Identification of multiple outliers. J Am Stat Assoc 1993, 88:782-792.
    • (1993) J Am Stat Assoc , vol.88 , pp. 782-792
    • Davies, L.1    Gather, U.2
  • 56
    • 33644836121 scopus 로고
    • Masking effect on tests for outliers in exponential models
    • Bendre SM, Kale BK. Masking effect on tests for outliers in exponential models. J Am Stat Assoc 1985, 80:1020-1025.
    • (1985) J Am Stat Assoc , vol.80 , pp. 1020-1025
    • Bendre, S.M.1    Kale, B.K.2
  • 57
    • 33750452072 scopus 로고
    • Masking effect on tests for outliers in normal samples
    • Bendre SM, Kale BK. Masking effect on tests for outliers in normal samples. Biometrika 1987, 74:891-896.
    • (1987) Biometrika , vol.74 , pp. 891-896
    • Bendre, S.M.1    Kale, B.K.2
  • 58
    • 79958012112 scopus 로고    scopus 로고
    • Outlier detection using nonconvex penalized regression
    • Department of Statistics, Stanford University
    • She Y, Owen A. Outlier detection using nonconvex penalized regression. Technical Report, Department of Statistics, Stanford University; 2010.
    • (2010) Technical Report
    • She, Y.1    Owen, A.2
  • 59
    • 0038365156 scopus 로고    scopus 로고
    • Outliers in multivariate time series
    • Tsay RS, Pena D, Pankratz AE. Outliers in multivariate time series. Biometrika 2000, 87:789-804.
    • (2000) Biometrika , vol.87 , pp. 789-804
    • Tsay, R.S.1    Pena, D.2    Pankratz, A.E.3
  • 61
    • 61449200485 scopus 로고    scopus 로고
    • Spatial outlier detection in heterogeneous neighborhoods
    • Janeja VP, Atluri V. Spatial outlier detection in heterogeneous neighborhoods. Intell Data Anal 2009, 13:85-107.
    • (2009) Intell Data Anal , vol.13 , pp. 85-107
    • Janeja, V.P.1    Atluri, V.2
  • 62
    • 0000499051 scopus 로고
    • A Bayesian approach to outlier detection and residual analysis
    • Chaloner K, Brant R. A Bayesian approach to outlier detection and residual analysis. Biometrika 1988, 75:651-659.
    • (1988) Biometrika , vol.75 , pp. 651-659
    • Chaloner, K.1    Brant, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.