메뉴 건너뛰기




Volumn 5782 LNAI, Issue PART 2, 2009, Pages 160-175

Efficient pruning schemes for distance-based outlier detection

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; DETECTING DISTANCE; DETECTION PROCESS; DISTANCE-BASED; EMPIRICAL STUDIES; EXECUTION TIME; LOOP ALGORITHMS; LOWER BOUNDS; OUTLIER DETECTION; REAL DATA SETS; SEARCH SPACES; SECOND PHASE; TWO PHASIS;

EID: 70349971701     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_11     Document Type: Conference Paper
Times cited : (31)

References (14)
  • 1
    • 0034825778 scopus 로고    scopus 로고
    • Mining needle in a haystack: Classifying rare classes via two-phase rule induction
    • Joshi, M.V., Agarwal, R.C., Kumar, V.: Mining needle in a haystack: Classifying rare classes via two-phase rule induction. In: SIGMOD Conference, pp. 91-102 (2001)
    • (2001) SIGMOD Conference , pp. 91-102
    • Joshi, M.V.1    Agarwal, R.C.2    Kumar, V.3
  • 2
    • 84974683992 scopus 로고    scopus 로고
    • Unified algorithm for undirected discovery of exception rules
    • Zighed D.A. Komorowski J. ÿ Zytkow J.M. (eds.) Springer, Heidelberg
    • Suzuki, E., Zytkow, J.M.: Unified algorithm for undirected discovery of exception rules. In: Zighed, D.A., Komorowski, J., ÿ Zytkow, J.M. (eds.) PKDD 2000. LNCS (LNAI), vol.1910, pp. 169-180. Springer, Heidelberg (2000)
    • (2000) PKDD 2000. LNCS (LNAI) , vol.1910 , pp. 169-180
    • Suzuki, E.1    Zytkow, J.M.2
  • 4
    • 0003858566 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • Knorr, E.M., Ng, R.T.: Algorithms for mining distance-based outliers in large datasets. In: VLDB, pp. 392-403 (1998)
    • (1998) VLDB , pp. 392-403
    • Knorr, E.M.1    Ng, R.T.2
  • 5
    • 17444413786 scopus 로고    scopus 로고
    • An effective and eficient algorithm for high-dimensional outlier detection
    • Aggarwal, C.C., Yu, P.S.: An effective and eficient algorithm for high-dimensional outlier detection. VLDB Journal 14(2), 211-221 (2005)
    • (2005) VLDB Journal , vol.14 , Issue.2 , pp. 211-221
    • Aggarwal, C.C.1    Yu, P.S.2
  • 7
    • 0039845384 scopus 로고    scopus 로고
    • Eficient algorithms for mining outliers from large data sets
    • Ramaswamy, S., Rastogi, R., Shim, K.: Eficient algorithms for mining outliers from large data sets. In: SIGMOD Conference, pp. 427-438 (2000)
    • (2000) SIGMOD Conference , pp. 427-438
    • Ramaswamy, S.1    Rastogi, R.2    Shim, K.3
  • 8
    • 0345359208 scopus 로고    scopus 로고
    • LOCI: Fast outlier detection using the local correlation integral
    • Papadimitriou, S., Kitagawa, H., Gibbons, P.B., Faloutsos, C.: LOCI: Fast outlier detection using the local correlation integral. In: ICDE, pp. 315-324 (2003)
    • (2003) ICDE , pp. 315-324
    • Papadimitriou, S.1    Kitagawa, H.2    Gibbons, P.B.3    Faloutsos, C.4
  • 9
    • 52149124095 scopus 로고    scopus 로고
    • Online outlier detection based on relative neighbourhood dissimilarity
    • Bailey, J., Maier, D., Schewe, K.-D., Thalheim, B., Wang, X.S. (eds.) Springer, Heidelberg
    • Nguyen, H.V., Vivekanand, G., Praneeth, N.: Online Outlier Detection Based on Relative Neighbourhood Dissimilarity. In: Bailey, J., Maier, D., Schewe, K.-D., Thalheim, B., Wang, X.S. (eds.) WISE 2008. LNCS, vol.5175, pp. 50-61. Springer, Heidelberg (2008)
    • (2008) WISE 2008. LNCS , vol.5175 , pp. 50-61
    • Nguyen, H.V.1    Vivekanand, G.2    Praneeth, N.3
  • 10
    • 85039571873 scopus 로고    scopus 로고
    • A linear method for deviation detection in large databases
    • Arning, A., Agrawal, R., Raghavan, P.: A linear method for deviation detection in large databases. In: KDD, pp. 164-169 (1996)
    • (1996) KDD , pp. 164-169
    • Arning, A.1    Agrawal, R.2    Raghavan, P.3
  • 11
    • 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: KDD, pp. 29-38 (2003)
    • (2003) KDD , pp. 29-38
    • Bay, S.D.1    Schwabacher, M.2
  • 12
    • 33745440901 scopus 로고    scopus 로고
    • Fast mining of distance-based outliers in high dimensional datasets
    • Ghoting, A., Parthasarathy, S., Otey, M.E.: Fast mining of distance-based outliers in high dimensional datasets. In: SDM (2006)
    • (2006) SDM
    • Ghoting, A.1    Parthasarathy, S.2    Otey, M.E.3
  • 14
    • 33749567862 scopus 로고    scopus 로고
    • Mining distance-based outliers from large databases in any metric space
    • Tao, Y., Xiao, X., Zhou, S.: Mining distance-based outliers from large databases in any metric space. In: KDD, pp. 394-403 (2006)
    • (2006) KDD , pp. 394-403
    • Tao, Y.1    Xiao, X.2    Zhou, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.