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Volumn 3, Issue 2, 2010, Pages 1469-1480

Distance-based outlier detection: Consolidation and renewed bearing

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DIAGNOSIS; SIGNAL DETECTION; STATISTICS;

EID: 80053412531     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/1920841.1921021     Document Type: Article
Times cited : (99)

References (28)
  • 1
    • 37549058056 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Communications of the ACM, 51(1):117-122, 2008.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 117-122
    • Andoni, A.1    Indyk, P.2
  • 2
    • 56749108427 scopus 로고    scopus 로고
    • M. J. Silva, A. H. F. Laender, R. A. Baeza-Yates, D. L. McGuinness, B. Olstad, Ø. H. Olsen, and A. O. Falcão, editors, CIKM, ACM
    • F. Angiulli and F. Fassetti. Very efficient mining of distance-based outliers. In M. J. Silva, A. H. F. Laender, R. A. Baeza-Yates, D. L. McGuinness, B. Olstad, Ø. H. Olsen, and A. O. Falcão, editors, CIKM, pages 791-800. ACM, 2007.
    • (2007) Very efficient mining of distance-based outliers , pp. 791-800
    • Angiulli, F.1    Fassetti, F.2
  • 4
    • 33750939148 scopus 로고    scopus 로고
    • The uci kdd archive of large data sets for data mining research and experimentation
    • S. D. Bay, D. Kibler, M. J. Pazzani, and P. Smyth. The uci kdd archive of large data sets for data mining research and experimentation. SIGKDD Explor. Newsl., 2(2):81-85, 2000.
    • (2000) SIGKDD Explor. Newsl. , vol.2 , Issue.2 , pp. 81-85
    • Bay, S.D.1    Kibler, D.2    Pazzani, M.J.3    Smyth, P.4
  • 6
    • 0039253819 scopus 로고    scopus 로고
    • Lof: Identifying density-based local outliers
    • W. Chen, J. F. Naughton, and P. A. Bernstein, editors, Dallas, Texas, USA, ACM
    • M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander. Lof: Identifying density-based local outliers. In W. Chen, J. F. Naughton, and P. A. Bernstein, editors, Proc. of the 2000 ACM SIGMOD Int. Conf. on Management of Data, May 16-18, 2000, Dallas, Texas, USA, pages 93-104. ACM, 2000.
    • (2000) Proc. of the 2000 ACM SIGMOD Int. Conf. on Management of Data , pp. 93-104
    • Breunig, M.M.1    Kriegel, H-P.2    Ng, R.T.3    Sander, J.4
  • 8
    • 84976803260 scopus 로고
    • FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
    • ACM New York, NY, USA
    • C. Faloutsos and K. Lin. FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. In Proceedings of the 1995 ACM SIGMOD international conference on Management of data, pages 163-174. ACM New York, NY, USA, 1995.
    • (1995) Proceedings of the 1995 ACM SIGMOD international conference on Management of data , pp. 163-174
    • Faloutsos, C.1    Lin, K.2
  • 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 Min. Knowl. Discov., 16(3):349-364, 2008.
    • (2008) Data Min. Knowl. Discov. , vol.16 , Issue.3 , pp. 349-364
    • Ghoting, A.1    Parthasarathy, S.2    Otey, M.E.3
  • 12
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang. Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Min. Knowl. Discov., 2(3):283-304, 1998.
    • (1998) Data Min. Knowl. Discov. , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 13
    • 0012905555 scopus 로고    scopus 로고
    • Finding intensional knowledge of distance-based outliers
    • San Francisco, CA, USA, Morgan Kaufmann Publishers Inc.
    • E. M. Knorr and R. T. Ng. Finding intensional knowledge of distance-based outliers. In VLDB '99: 25th Int. Conf. on Very Large Data Bases, pages 211-222, San Francisco, CA, USA, 1999. Morgan Kaufmann Publishers Inc.
    • (1999) VLDB '99: 25th Int. Conf. on Very Large Data Bases , pp. 211-222
    • Knorr, E.M.1    Ng, R.T.2
  • 18
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Morgan Kaufmann Publishers
    • R. T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In 20th Int. Conf. on Very Large Data Bases, 1994, Santiago, Chile, pages 144-155. Morgan Kaufmann Publishers, 1994.
    • (1994) 20th Int. Conf. on Very Large Data Bases, 1994, Santiago, Chile , pp. 144-155
    • Ng R.T.Han, J.1
  • 19
    • 38149128135 scopus 로고    scopus 로고
    • Outliers in statistical data : V. barnett and t. lewis, 1994, 3rd edition, (john wiley & sons, chichester), isbn 0-471-93094
    • March
    • K. Ord. Outliers in statistical data : V. barnett and t. lewis, 1994, 3rd edition, (john wiley & sons, chichester), isbn 0-471-93094. Int. Journal of Forecasting, 12(1):175-176, March 1996.
    • (1996) Int. Journal of Forecasting , vol.12 , Issue.1 , pp. 175-176
    • Ord, K.1
  • 21
    • 84865608627 scopus 로고    scopus 로고
    • Projeto Tamandua, 2006. http://tamandua.speed.dcc.ufmg.br/.
    • (2006)
    • Tamandua, P.1
  • 24
    • 33747438246 scopus 로고
    • Outlier detection and motion segmentation
    • P. Torr and D. Murray. Outlier detection and motion segmentation. Sensor Fusion VI, 2059:432-443, 1993.
    • (1993) Sensor Fusion VI , vol.2059 , pp. 432-443
    • Torr, P.1    Murray, D.2
  • 28
    • 0030157145 scopus 로고    scopus 로고
    • Birch: an efficient data clustering method for very large databases
    • T. Zhang, R. Ramakrishnan, and M. Livny. Birch: an efficient data clustering method for very large databases. SIGMOD Rec., 25(2):103-114, 1996.
    • (1996) SIGMOD Rec. , vol.25 , Issue.2 , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.