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Volumn , Issue , 2004, Pages 387-390

LOADED: Link-based outlier and anomaly detection in evolving data sets

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DATA CLEANING; DATA POINTS; DATA SETS;

EID: 19544370003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2004.10011     Document Type: Conference Paper
Times cited : (67)

References (14)
  • 1
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  • 3
    • 77952380096 scopus 로고    scopus 로고
    • Mining distance-based outliers in near linear time with randomization and a simple pruning rule
    • S. Bay and M. Schwabacher. Mining distance-based outliers in near linear time with randomization and a simple pruning rule. In SIGKDD, 2003.
    • (2003) SIGKDD
    • Bay, S.1    Schwabacher, M.2
  • 5
    • 0039253819 scopus 로고    scopus 로고
    • LOF: Identifying density-based local outliers
    • M. Breunig et al. LOF: Identifying density-based local outliers. In SIGMOD, 2000.
    • (2000) SIGMOD
    • Breunig, M.1
  • 7
    • 19544367555 scopus 로고    scopus 로고
    • LOADED: Link-based outlier and anomaly detection in evolving data sets
    • CSE,The Ohio State University
    • A. Ghoting el al. LOADED: Link-based outlier and anomaly detection in evolving data sets. Technical report, CSE,The Ohio State University, 2004.
    • (2004) Technical Report
    • Ghoting, A.1
  • 8
    • 0034228041 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • S. Guha et al. ROCK: A robust clustering algorithm for categorical attributes. In Information Systems, 2000.
    • (2000) Information Systems
    • Guha, S.1
  • 9
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outliers: Algorithms and applications
    • E. Knorr et al. Distance-based outliers: Algorithms and applications. In VLDB Journal, 2000.
    • (2000) VLDB Journal
    • Knorr, E.1
  • 10
    • 0242456801 scopus 로고    scopus 로고
    • Learning non-stationary models of normal network traffic for detecting novel attacks
    • M. Mahoney and P. Chan. Learning non-stationary models of normal network traffic for detecting novel attacks. In SIGKDD, 2002.
    • (2002) SIGKDD
    • Mahoney, M.1    Chan, P.2
  • 11
    • 2442443820 scopus 로고    scopus 로고
    • Approximate frequency counts over data streams
    • G. Manku and R. Motwani. Approximate frequency counts over data streams. In VLDB, 2002.
    • (2002) VLDB
    • Manku, G.1    Motwani, R.2
  • 12
    • 0345359208 scopus 로고    scopus 로고
    • LOCI: Fast outlier detection using the local correlation integral
    • S. Papadimitriou el al. LOCI: Fast outlier detection using the local correlation integral. In ICDE, 2003.
    • (2003) ICDE
    • Papadimitriou, S.1
  • 13
    • 0040481253 scopus 로고    scopus 로고
    • A comparison of multivariate outlier detection methods for clinical laboratory safety data
    • K. Penny et al. A comparison of multivariate outlier detection methods for clinical laboratory safety data. The Statistician, Journal of the Royal Statistical Society, 2001.
    • (2001) The Statistician, Journal of the Royal Statistical Society
    • Penny, K.1
  • 14
    • 0242456797 scopus 로고    scopus 로고
    • ADMIT: Anomaly-based data mining for intrusions
    • K. Sequeira and M. Zaki. ADMIT: Anomaly-based data mining for intrusions. In SIGKDD, 2002.
    • (2002) SIGKDD
    • Sequeira, K.1    Zaki, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.