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Volumn , Issue , 2012, Pages 877-885

A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data

Author keywords

AMS sketch; angle based; high dimensional; outlier detection; random projection

Indexed keywords

AMS SKETCH; ANGLE-BASED; HIGH-DIMENSIONAL; OUTLIER DETECTION; RANDOM PROJECTIONS;

EID: 84866011202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339669     Document Type: Conference Paper
Times cited : (115)

References (21)
  • 1
    • 84949479246 scopus 로고    scopus 로고
    • On the surprising behavior of distance metrics in high dimensional spaces
    • C. C. Aggarwal, A. Hinneburg, and D. A. Keim. On the surprising behavior of distance metrics in high dimensional spaces. In Proceedings of ICDT'01, pages 420-434, 2001.
    • (2001) Proceedings of ICDT'01 , pp. 420-434
    • Aggarwal, C.C.1    Hinneburg, A.2    Keim, D.A.3
  • 2
    • 0034832620 scopus 로고    scopus 로고
    • Outlier detection for high dimensional data
    • C. C. Aggarwal and P. S. Yu. Outlier detection for high dimensional data. In Proceedings of SIGMOD'01, pages 37-46, 2001.
    • (2001) Proceedings of SIGMOD'01 , pp. 37-46
    • Aggarwal, C.C.1    Yu, P.S.2
  • 4
    • 77952380096 scopus 로고    scopus 로고
    • Mining distance-based outliers in near linear time with randomization and a simple pruning rule
    • S. D. Bay and M. Schwabacher. Mining distance-based outliers in near linear time with randomization and a simple pruning rule. In Proceedings of KDD'03, pages 29-38, 2003.
    • (2003) Proceedings of KDD'03 , pp. 29-38
    • Bay, S.D.1    Schwabacher, M.2
  • 7
    • 0036040277 scopus 로고    scopus 로고
    • Similarity estimation techniques from rounding algorithms
    • M. Charikar. Similarity estimation techniques from rounding algorithms. In Proceedings of STOC'02, pages 380-388, 2002.
    • (2002) Proceedings of STOC'02 , pp. 380-388
    • Charikar, M.1
  • 10
    • 42749086305 scopus 로고    scopus 로고
    • Fast mining of distance-based outliers in high-dimensional datasets
    • A. Ghoting, S. Parthasarathy, and M. E. Otey. Fast mining of distance-based outliers in high-dimensional datasets. Data Mining and Knowledge Discovery, 16(3):349-364, 2008.
    • (2008) Data Mining and Knowledge Discovery , vol.16 , Issue.3 , pp. 349-364
    • Ghoting, A.1    Parthasarathy, S.2    Otey, M.E.3
  • 11
    • 84893574327 scopus 로고
    • Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
    • M. X. Goemans and D. P. Williamson. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM, 42(6):1115-1145, 1995.
    • (1995) Journal of the ACM , vol.42 , Issue.6 , pp. 1115-1145
    • Goemans, M.X.1    Williamson, D.P.2
  • 12
    • 58449100249 scopus 로고    scopus 로고
    • Declaring independence via the sketching of sketches
    • P. Indyk and A. McGregor. Declaring independence via the sketching of sketches. In Proceedings of SODA'08, pages 737-745, 2008.
    • (2008) Proceedings of SODA'08 , pp. 737-745
    • Indyk, P.1    McGregor, A.2
  • 13
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • E. M. Knorr and R. T. Ng. Algorithms for mining distance-based outliers in large datasets. In Proceedings of VLDB'98, pages 392-403, 1998.
    • (1998) Proceedings of VLDB'98 , pp. 392-403
    • Knorr, E.M.1    Ng, R.T.2
  • 14
    • 65449145220 scopus 로고    scopus 로고
    • Angle-based outlier detection in high-dimensional data
    • H.-P. Kriegel, M. Schubert, and A. Zimek. Angle-based outlier detection in high-dimensional data. In Proceedings KDD'08, pages 444-452, 2008.
    • (2008) Proceedings KDD'08 , pp. 444-452
    • Kriegel, H.-P.1    Schubert, M.2    Zimek, A.3
  • 17
    • 79957856197 scopus 로고    scopus 로고
    • Statistical selection of relevant subspace projections for outlier ranking
    • E. Müller, M. Schiffer, and T. Seidl. Statistical selection of relevant subspace projections for outlier ranking. In Proceedings of ICDE'11, pages 434-445, 2011.
    • (2011) Proceedings of ICDE'11 , pp. 434-445
    • Müller, E.1    Schiffer, M.2    Seidl, T.3
  • 19
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large data sets
    • S. Ramaswamy, R. Rastogi, and K. Shim. Efficient algorithms for mining outliers from large data sets. In Proceedings of SIGMOD'00, pages 427-438, 2000.
    • (2000) Proceedings of SIGMOD'00 , pp. 427-438
    • Ramaswamy, S.1    Rastogi, R.2    Shim, K.3
  • 20
    • 79957849567 scopus 로고    scopus 로고
    • Locality sensitive outlier detection: A ranking driven approach
    • Y. Wang, S. Parthasarathy, and S. Tatikonda. Locality sensitive outlier detection: A ranking driven approach. In Proceedings of ICDE'11, pages 410-421, 2011.
    • (2011) Proceedings of ICDE'11 , pp. 410-421
    • Wang, Y.1    Parthasarathy, S.2    Tatikonda, S.3
  • 21
    • 0033705131 scopus 로고    scopus 로고
    • Multiple algorithms for fraud detection
    • R. Wheeler and J. S. Aitken. Multiple algorithms for fraud detection. Knowledge Based Systems, 13(2-3):93-99, 2000.
    • (2000) Knowledge Based Systems , vol.13 , Issue.2-3 , pp. 93-99
    • Wheeler, R.1    Aitken, J.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.