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Volumn 1, Issue , 2003, Pages 157-162

GLOF: A new approach for mining local outlier

Author keywords

Data Mining; Outlier Detection; Power Means; The Rule of "k "

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION; ELECTRONIC COMMERCE; KNOWLEDGE ENGINEERING; PROBABILITY DISTRIBUTIONS;

EID: 1542299056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (20)
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    • Outlier detection for high dimensional data
    • Santa Barbara, CA, USA
    • Aggarwal C., Yu P., 2001. Outlier detection for high dimensional data. In: Proceedings of SIGMOD_01, Santa Barbara, CA, USA, pp. 37 - 46
    • (2001) Proceedings of SIGMOD_01 , pp. 37-46
    • Aggarwal, C.1    Yu, P.2
  • 8
    • 0032652570 scopus 로고    scopus 로고
    • ROCK:A robust clustering algorithm for categorical attributes
    • Sydney, Australia
    • th ICDE,pp.512-521, Sydney, Australia. 1999.
    • (1999) th ICDE , pp. 512-521
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 11
    • 84945281435 scopus 로고    scopus 로고
    • Enhancing Effectiveness of Outlier Detections for Low Density Patterns
    • PAKDD
    • Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David Wai-Lok Cheung: Enhancing Effectiveness of Outlier Detections for Low Density Patterns. 6th Pacific-Asia Conference, PAKDD 2002: pp.535-548
    • (2002) 6th Pacific-asia Conference , pp. 535-548
    • Tang, J.1    Chen, Z.2    Fu, A.W.-C.3    Cheung, D.W.-L.4
  • 12
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for Mining Distance-Based Outliers in Large Datasets
    • New York, NY
    • Knorr E. M., Ng R. T.: "Algorithms for Mining Distance-Based Outliers in Large Datasets", Proc. 24th Int. Conf. On Very Large Data Bases, New York, NY, pp. 392-403 1998.
    • (1998) Proc. 24th Int. Conf. On Very Large Data Bases , pp. 392-403
    • Knorr, E.M.1    Ng, R.T.2
  • 13
    • 0012905555 scopus 로고    scopus 로고
    • Finding Intensional Knowledge of Distance-based Outliers
    • Edinburgh, Scotland
    • Knorr E. M., Ng R. T.: "Finding Intensional Knowledge of Distance-based Outliers", Proc. 25th Int. Conf. on Very Large Data Bases, Edinburgh, Scotland, pp. 211-222 1999.
    • (1999) Proc. 25th Int. Conf. on Very Large Data Bases , pp. 211-222
    • Knorr, E.M.1    Ng, R.T.2
  • 19
    • 0034592923 scopus 로고    scopus 로고
    • On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
    • Boston, MA, USA
    • Yamanishi. K, Takeuchi. J,and Williams. G On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. In Proceedings of the Sixth ACM SIGKDD00, Boston, MA, USA, pp 320-324.
    • Proceedings of the Sixth ACM SIGKDD00 , pp. 320-324
    • Yamanishi, K.1    Takeuchi, J.2    Williams, G.3
  • 20
    • 0037410488 scopus 로고    scopus 로고
    • Discovering cluster-based local outliers
    • June
    • Zengyou He, Xiaofei Xu, Shengchun Deng Discovering cluster-based local outliers Pattern Recognition Letters Volume: 24, Issue: 9-10, pp. 1651-1660, June, 2003
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1651-1660
    • He, Z.1    Xu, X.2    Deng, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.