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Volumn 29, Issue 2, 2000, Pages 427-438

Efficient algorithms for mining outliers from large data sets

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0039845384     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/335191.335437     Document Type: Article
Times cited : (1775)

References (17)
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    • The R*-tree: An efficient and robust access method for points and rectangles
    • Atlantic City, NJ, May
    • N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger. The R*-tree: an efficient and robust access method for points and rectangles. In Proc. of ACM SIGMOD, pages 322-331, Atlantic City, NJ, May 1990.
    • (1990) Proc. of ACM SIGMOD , pp. 322-331
    • Beckmann, N.1    Kriegel, H.-P.2    Schneider, R.3    Seeger, B.4
  • 9
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • New York, USA, September
    • Edwin Knorr and Raymond Ng. Algorithms for mining distance-based outliers in large datasets. In Proc. of the VLDB Conference, pages 392-403, New York, USA, September 1998.
    • (1998) Proc. of the VLDB Conference , pp. 392-403
    • Knorr, E.1    Ng, R.2
  • 10
    • 0012905555 scopus 로고    scopus 로고
    • Finding intensional knowledge of distance-based outliers
    • Edinburgh, UK, September
    • Edwin Knorr and Raymond Ng. Finding intensional knowledge of distance-based outliers. In Proc. of the VLDB Conference, pages 211-222, Edinburgh, UK, September 1999.
    • (1999) Proc. of the VLDB Conference , pp. 211-222
    • Knorr, E.1    Ng, R.2
  • 11
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Santiago, Chile, September
    • Raymond T. Ng and Jiawei Han. Efficient and effective clustering methods for spatial data mining. In Proc. of the VLDB Conference, Santiago, Chile, September 1994.
    • (1994) Proc. of the VLDB Conference
    • Ng, R.T.1    Han, J.2
  • 14
    • 0002621626 scopus 로고    scopus 로고
    • Public: A decision tree classifier that integrates building and pruning
    • New York
    • Rajeev Rastogi and Kyuseok Shim. Public: A decision tree classifier that integrates building and pruning. In Proc. of the Int'l Conf. on Very Large Data Bases, New York, 1998.
    • (1998) Proc. of the Int'l Conf. on Very Large Data Bases
    • Rastogi, R.1    Shim, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.