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Volumn 80, Issue 1, 2003, Pages

WSARE: What's Strange about Recent Events?

Author keywords

Anomaly detection; Data mining; Detection algorithm; Multiple hypothesis testing; Syndromic surveillance

Indexed keywords

ALGORITHM; CITY; CLINICAL FEATURE; CONFERENCE PAPER; DATA ANALYSIS; DATA BASE; DIAGNOSTIC ERROR; EARLY DIAGNOSIS; EMERGENCY HEALTH SERVICE; EMERGENCY WARD; EPIDEMIC; EVALUATION; FISHER EXACT TEST; HEALTH SURVEY; HUMAN; HYPOTHESIS; PRIORITY JOURNAL; RANDOMIZATION; SIMULATION; SYNDROME; TIME; ARTICLE; BIOLOGICAL WARFARE; INFECTION CONTROL; INFORMATION PROCESSING; MEDICAL INFORMATICS; METHODOLOGY; UNITED STATES; UTILIZATION REVIEW;

EID: 0141611065     PISSN: 10993460     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (60)

References (12)
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  • 3
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    • Anomaly detection over noisy data using learned probability distributions
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    • Eskin E. Anomaly detection over noisy data using learned probability distributions. In: Langley P, ed. Proceedings of the 2000 International Conference on Machine Learning (ICML-2000). San Francisco: Morgan Kaufmann; 2000:255-262.
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    • Eskin, E.1
  • 5
    • 0035512260 scopus 로고    scopus 로고
    • The emerging science of very early detection of disease outbreaks
    • Wagner MM, Tsui FC, Espino JU, et al. The emerging science of very early detection of disease outbreaks. J Public Health Manage Pract. 2001;7(6):51-59.
    • (2001) J Public Health Manage Pract , vol.7 , Issue.6 , pp. 51-59
    • Wagner, M.M.1    Tsui, F.C.2    Espino, J.U.3
  • 6
    • 0028480283 scopus 로고
    • Novelty detection and neural network validation
    • Bishop CM. Novelty detection and neural network validation. IEEE ProcVision, Image Signal Proc. 1994;141:217-222.
    • (1994) IEEE ProcVision, Image Signal Proc , vol.141 , pp. 217-222
    • Bishop, C.M.1
  • 7
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    • Bayesian approaches to failure prediction for disk drives
    • Brodley CE, Danyluk AP, eds. San Francisco, CA: Morgan Kaufmann
    • Hamerly G, Elkan C. Bayesian approaches to failure prediction for disk drives. In: Brodley CE, Danyluk AP, eds. Proceedings of the 18th International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann; 2001:202-209.
    • (2001) Proceedings of the 18th International Conference on Machine Learning , pp. 202-209
    • Hamerly, G.1    Elkan, C.2
  • 8
    • 0002109327 scopus 로고    scopus 로고
    • Detecting change in categorical data: Mining contrast sets
    • Chaudhuri S, Madigan D, eds. New York: Association for Computing Machinery
    • Bay SD, Pazzani MJ. Detecting change in categorical data: Mining contrast sets. In: Chaudhuri S, Madigan D, eds. Knowledge Discovery and Data Mining. New York: Association for Computing Machinery; 1999:302-306.
    • (1999) Knowledge Discovery and Data Mining , pp. 302-306
    • Bay, S.D.1    Pazzani, M.J.2
  • 10
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    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc, Series B. 1995;57:289-300.
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    • Benjamini, Y.1    Hochberg, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.