메뉴 건너뛰기




Volumn 15, Issue 2, 2011, Pages 151-171

Active learning and subspace clustering for anomaly detection

Author keywords

active learning; Anomaly detection; Bayessian network; Dirichlet distribution; probabilistic model

Indexed keywords

ACTIVE LEARNING; ANOMALY DETECTION; BAYESSIAN NETWORK; DIRICHLET DISTRIBUTIONS; PROBABILISTIC MODELS;

EID: 79953301764     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2010-0461     Document Type: Article
Times cited : (18)

References (49)
  • 2
    • 34548577511 scopus 로고    scopus 로고
    • An Empirical Bayes approach to detect anomalies in dynamic multidimensional arrays
    • DOI 10.1109/ICDM.2005.22, 1565658, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
    • D. Agarwal, An empirical bayes approach to detect anomalies in dynamic multidimensional arrays, in: Proceedings of the 5th IEEE International Conference on Data Mining. IEEE Computer Society, 2005, pp. 26-33. (Pubitemid 47385673)
    • (2005) Proceedings - IEEE International Conference on Data Mining, ICDM , pp. 26-33
    • Agarwal, D.1
  • 3
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • R. Agrawal, J. Gehrke, D. Gunopulos and P. Raghavan, Automatic subspace clustering of high dimensional data for data mining applications, in: Proceedings ACMSIGMOD International Conference Management of Data, 1998, pp. 94-105. (Pubitemid 128655960)
    • (1998) SIGMOD Record , vol.27 , Issue.2 , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 5
    • 0035678283 scopus 로고    scopus 로고
    • Outlier detection in regression models with ARIMA errors using robust estimates
    • DOI 10.1002/for.768
    • A. Bianco, M. Ben, E. Martinez and V. Yohai, Outlier detection in regression models with arima errors using robust estimates, Journal of Forecasting 20(8) (2001), 565-579. (Pubitemid 34036017)
    • (2001) Journal of Forecasting , vol.20 , Issue.8 , pp. 565-579
    • Bianco, A.M.1    Garcia Ben, M.2    Martinez, E.J.3    Yohai, V.J.4
  • 7
    • 0002617436 scopus 로고
    • Ferguson distribution via polya urn schemes
    • D. Blackwell and J. MacQueen, Ferguson distribution via polya urn schemes, The Annals of Statistics 1(2) (1973), 353-355.
    • (1973) The Annals of Statistics , vol.1 , Issue.2 , pp. 353-355
    • Blackwell, D.1    MacQueen, J.2
  • 9
    • 42949121951 scopus 로고    scopus 로고
    • Unsupervised anomaly detection in large databases using bayesian networks
    • DOI 10.1080/08839510801972801, PII 792594252
    • A. Cansado and A. Soto, Unsupervised anomaly detection in large databases using bayesian networks, Applied Artificial Intelligence 22(4) (2008), 309-330. (Pubitemid 351612907)
    • (2008) Applied Artificial Intelligence , vol.22 , Issue.4 , pp. 309-330
    • Cansado, A.1    Soto, A.2
  • 10
    • 60849106960 scopus 로고    scopus 로고
    • Active learning for object classification: from exploration to exploitation
    • N. Cebron and M. Berthold, Active learning for object classification: from exploration to exploitation, Data Mining and Knowledge Discovery 18(2) (2008), 283-299.
    • (2008) Data Mining and Knowledge Discovery , vol.18 , Issue.2 , pp. 283-299
    • Cebron, N.1    Berthold, M.2
  • 11
    • 14644414808 scopus 로고    scopus 로고
    • Simultaneous wavelength selection and outlier detection in multivariate regression of nearinfrared spectra
    • D. Chen, X. Shao, B. Hu and Q. Su, Simultaneous wavelength selection and outlier detection in multivariate regression of nearinfrared spectra, Analytical Sciences 21(2) (2005), 161-167.
    • (2005) Analytical Sciences , vol.21 , Issue.2 , pp. 161-167
    • Chen, D.1    Shao, X.2    Hu, B.3    Su, Q.4
  • 16
    • 0001120413 scopus 로고
    • A bayesian analysis of some nonparametric problems
    • T. Ferguson, A bayesian analysis of some nonparametric problems, The Annals of Statistics 1(2) (1973), 209-230.
    • (1973) The Annals of Statistics , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, T.1
  • 18
    • 84946031884 scopus 로고
    • Procedures for detecting outlying observations in samples
    • Grubb and E. Frank, Procedures for detecting outlying observations in samples, Technometrics 11(1) (1969), 1-21.
    • (1969) Technometrics , vol.11 , Issue.1 , pp. 1-21
    • Grubb1    Frank, E.2
  • 20
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • V. Hodge and J. Austin, A survey of outlier detection methodologies, Artificial Intelligence Review 22(2) (2004), 85-126.
    • (2004) Artificial Intelligence Review , vol.22 , Issue.2 , pp. 85-126
    • Hodge, V.1    Austin, J.2
  • 21
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang, Extensions to the kmeans algorithm for clustering large data sets with categorical values, Data Mining and Knowledge Discovery 2 (1998), 283-304. (Pubitemid 128695480)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 25
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distancebased outliers in large datasets
    • New York, USA
    • E. Knorr and R. Ng, Algorithms for mining distancebased outliers in large datasets, in: Proceedings of the VLDB Conference, New York, USA, 1998, pp. 392-403.
    • (1998) Proceedings of the VLDB Conference , pp. 392-403
    • Knorr, E.1    Ng, R.2
  • 27
    • 7544231535 scopus 로고    scopus 로고
    • Applications of machine learning to anomaly detection
    • R. Adey, G. Rzevski and T. Teti, eds, Southampton, UK: Comput. Mech. Publications.
    • T. Lane and C. Brodley, Applications of machine learning to anomaly detection, in: Applications of Artificial Intelligence in Engineering, R. Adey, G. Rzevski and T. Teti, eds, Southampton, UK: Comput. Mech. Publications., 1997, p. 11314.
    • (1997) Applications of Artificial Intelligence in Engineering , pp. 11314
    • Lane, T.1    Brodley, C.2
  • 29
    • 0036969319 scopus 로고    scopus 로고
    • Automated flaw detection in aluminum castings based on the tracking of potential defects in a radioscopic image sequence
    • D. Mery and D. Filbert, Automated flaw detection in aluminum castings based on the tracking of potential defects in a radioscopic image sequence, IEEE Transactions on Robotics and Automation 18(6) (2002), 890-901.
    • (2002) IEEE Transactions on Robotics and Automation , vol.18 , Issue.6 , pp. 890-901
    • Mery, D.1    Filbert, D.2
  • 35
    • 29144443664 scopus 로고    scopus 로고
    • Minority report in fraud detection: Classification of skewed data
    • C. Phua, D. Alahakoon and V. Lee, Minority report in fraud detection: Classification of skewed data, SIGKDD Explor Newsl 6(1) (2004), 50-59.
    • (2004) SIGKDD Explor Newsl , vol.6 , Issue.1 , pp. 50-59
    • Phua, C.1    Alahakoon, D.2    Lee, V.3
  • 42
    • 33847355183 scopus 로고    scopus 로고
    • An accelerated algorithm for density estimation in large databases using Gaussian mixtures
    • DOI 10.1080/01969720601138928, PII 771404367
    • A. Soto, F. Zavala and A. Araneda, An accelerated algorithm for density estimation in large databases using Gaussian mixtures, Cybernetics and Systems 38(2) (2007), 123-139. (Pubitemid 46346880)
    • (2007) Cybernetics and Systems , vol.38 , Issue.2 , pp. 123-139
    • Soto, A.1    Zavala, F.2    Araneda, A.3
  • 47
    • 0035271352 scopus 로고    scopus 로고
    • An anomaly detection technique based on a chi-square statistic for detecting intrusions into information systems
    • DOI 10.1002/qre.392
    • N.Ye andQ.Chen,An anomaly detection technique based on a chisquare statistic for detecting intrusions into information systems, Quality and Reliability Engineering International 17 (2001), 105-112. (Pubitemid 32443869)
    • (2001) Quality and Reliability Engineering International , vol.17 , Issue.2 , pp. 105-112
    • Ye, N.1    Chen, Q.2
  • 48
    • 0036613407 scopus 로고    scopus 로고
    • An active learning framework for contentbased information retrieval
    • C. Zhang and T. Chen, An active learning framework for contentbased information retrieval, IEEE Transactions on Multimedia 4 (2002), 260-268.
    • (2002) IEEE Transactions on Multimedia , vol.4 , pp. 260-268
    • Zhang, C.1    Chen, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.