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Volumn 3918 LNAI, Issue , 2006, Pages 567-576

A fast greedy algorithm for outlier mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HEURISTIC METHODS; ITERATIVE METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING;

EID: 33745779262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_67     Document Type: Conference Paper
Times cited : (77)

References (25)
  • 2
  • 3
    • 0034832620 scopus 로고    scopus 로고
    • Outlier detection for high dimensional data
    • Aggarwal, C., Yu, P.: Outlier Detection for High Dimensional Data. In: Proc. of SIGMOD'01, pp. 37-46, 2001
    • (2001) Proc. of SIGMOD'01 , pp. 37-46
    • Aggarwal, C.1    Yu, P.2
  • 4
    • 24944557601 scopus 로고    scopus 로고
    • A frequent pattern discovery based method for outlier detection
    • Proc. of WAIM'04
    • He,Z., Xu, X., Huang, J., Deng, S.: A Frequent Pattern Discovery Based Method for Outlier Detection. In: Proc. of WAIM'04, LNCS 3129, pp. 726-732, 2004
    • (2004) LNCS , vol.3129 , pp. 726-732
    • He, Z.1    Xu, X.2    Huang, J.3    Deng, S.4
  • 6
    • 84977797978 scopus 로고    scopus 로고
    • Fast computation of 2-dimensional depth contours
    • Johnson, T., Kwok, I., Ng, R.; Fast Computation of 2-Dimensional Depth Contours. In: Proc. of KDD'98, pp.224-228, 1998
    • (1998) Proc. of KDD'98 , pp. 224-228
    • Johnson, T.1    Kwok, I.2    Ng, R.3
  • 7
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outliers: Algorithms and applications
    • Knorr, E., Ng R., Tucakov, T.: Distance-Based Outliers: Algorithms and Applications. VLDB Journal 8(3-4) (2000) 237-253
    • (2000) VLDB Journal , vol.8 , Issue.3-4 , pp. 237-253
    • Knorr, E.1    Ng, R.2    Tucakov, T.3
  • 8
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large data sets
    • Ramaswamy, S., Rastogi, R., Kyuseok, S.: Efficient Algorithms for Mining Outliers from Large Data Sets. In: Proc. of SIGMOD'00, pp. 93-104, 2000
    • (2000) Proc. of SIGMOD'00 , pp. 93-104
    • Ramaswamy, S.1    Rastogi, R.2    Kyuseok, S.3
  • 9
    • 77952380096 scopus 로고    scopus 로고
    • Mining distance based outliers in near linear time with randomization and a simple pruning rule
    • Bay, S. D., Schwabacher, M.: Mining Distance Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule. In: Proc of KDD'03, pp.29-38, 2003
    • (2003) Proc of KDD'03 , pp. 29-38
    • Bay, S.D.1    Schwabacher, M.2
  • 12
    • 0035336998 scopus 로고    scopus 로고
    • Two-phase clustering process for outliers detection
    • Jiang, M. F., Tseng, S. S., Su, C. M.: Two-phase Clustering Process for Outliers Detection. Pattern Recognition Letters 22(6-7) (2001) 691-700
    • (2001) Pattern Recognition Letters , vol.22 , Issue.6-7 , pp. 691-700
    • Jiang, M.F.1    Tseng, S.S.2    Su, C.M.3
  • 14
    • 0037410488 scopus 로고    scopus 로고
    • Discovering cluster-based local outliers
    • He, Z., Xu, X., Huang, J., Deng, S.: Discovering Cluster-based Local Outliers. Pattern Recognition Letters 24(9-10) (2003) 1641-1650
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1641-1650
    • He, Z.1    Xu, X.2    Huang, J.3    Deng, S.4
  • 15
    • 0033220728 scopus 로고    scopus 로고
    • Support vector data description
    • Tax, D.M.J., Duin, R.P.W.: Support Vector Data Description. Pattern Recognition Letters 20(11-13) (1999) 1191-1199
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1191-1199
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 18
    • 27144452309 scopus 로고    scopus 로고
    • A comparative study of RNN for outlier detection in data mining
    • Willams, G. J., Baster, R. A., He, H., Harkins, S., Gu, L.: A Comparative Study of RNN for Outlier Detection in Data Mining. In: Proc of ICDM'02, pp. 709-712, 2002
    • (2002) Proc of ICDM'02 , pp. 709-712
    • Willams, G.J.1    Baster, R.A.2    He, H.3    Harkins, S.4    Gu, L.5
  • 19
    • 84944057338 scopus 로고    scopus 로고
    • Outlier detection integrating semantic knowledge
    • Proc. of WAIM'02
    • He, Z., Deng, S., Xu, X.: Outlier Detection Integrating Semantic Knowledge. In: Proc. of WAIM'02, LNCS 2419, pp.126-131, 2002
    • (2002) LNCS , vol.2419 , pp. 126-131
    • He, Z.1    Deng, S.2    Xu, X.3
  • 21
    • 4544379047 scopus 로고    scopus 로고
    • Mining class outliers: Concepts, algorithms and applications in CRM
    • He, Z., Xu, X., Huang, J., Deng, S.: Mining Class Outliers: Concepts, Algorithms and Applications in CRM. Expert Systems with Applications 27(4) (2004) 681-697
    • (2004) Expert Systems with Applications , vol.27 , Issue.4 , pp. 681-697
    • He, Z.1    Xu, X.2    Huang, J.3    Deng, S.4
  • 22
    • 27144543595 scopus 로고    scopus 로고
    • An optimization model for outlier detection in categorical data
    • Proc. of 2005 International Conference on Intelligent Computing
    • He, Z., Deng, S., Xu, X.: An Optimization Model for Outlier Detection in Categorical Data. In: Proc. of 2005 International Conference on Intelligent Computing, Lecture Notes in Computer Science 3644, pp.400-409, 2005
    • (2005) Lecture Notes in Computer Science , vol.3644 , pp. 400-409
    • He, Z.1    Deng, S.2    Xu, X.3
  • 24
    • 32344440279 scopus 로고    scopus 로고
    • Feature bagging for outlier detection
    • Lazarevic, A., Kumar, V.: Feature Bagging for Outlier Detection. In: Proc. of KDD'05, pp. 157-166, 2005
    • (2005) Proc. of KDD'05 , pp. 157-166
    • Lazarevic, A.1    Kumar, V.2
  • 25
    • 33646512600 scopus 로고    scopus 로고
    • A unified subspace outlier ensemble framework for outlier detection
    • Proc. of WAIM'05
    • He, Z., Deng, S., Xu, X.: A Unified Subspace Outlier Ensemble Framework for Outlier Detection. In: Proc. of WAIM'05, LNCS 3739, pp. 632-637, 2005
    • (2005) LNCS , vol.3739 , pp. 632-637
    • He, Z.1    Deng, S.2    Xu, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.