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Volumn , Issue , 2010, Pages 99-103

Online time data series pre-processing for the improved performance of anomaly detection methods

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTION METHODS; AUTOMATED MEASURING; AUTOMATIC PROCEDURES; DATA SERIES; DATA STREAM; OFFLINE DATA; ON-LINE USAGE; ONLINE TIME; PARAMETER ADJUSTMENTS; PRE-PROCESSING; REAL LIFE DATA; REAL-TIME DATA; REDUNDANT INFORMATIONS; REPORTING SYSTEMS; SEWER SYSTEM; WATER DISTRIBUTIONS;

EID: 84859918707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (9)
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    • Yoo, C.K.1    Villez, K.2    Lee, I.B.3    Van Hulle, S.4    Vanrolleghem, P.A.5
  • 2
    • 0036210172 scopus 로고    scopus 로고
    • A method for automatic validation of long time series of data in urban hydrology
    • Mourad M.&Bertrand-Krajewski J.-L. 2002.Amethod for automatic validation of long time series of data in urban hydrology.Water Science and Technology Vol 45 No 4-5 pp 263-270 © IWA Publishing (Pubitemid 34256548)
    • (2002) Water Science and Technology , vol.45 , Issue.4-5 , pp. 263-270
    • Mourad, M.1    Bertrand-Krajewski, J.-L.2
  • 3
    • 0242418167 scopus 로고    scopus 로고
    • Multivariate on-line monitoring: Challenges and solutions for modern wastewater treatment operation
    • Rosen C., Röttorp J. & Jeppsson U. 2003. Multivariate on-line monitoring: challenges and solutions for modern wastewater treatment operation.Water Science and TechnologyVol 47 No 2 pp 171-179 © IWA Publishing (Pubitemid 36292233)
    • (2003) Water Science and Technology , vol.47 , Issue.2 , pp. 171-179
    • Rosen, C.1    Rottorp, J.2    Jeppsson, U.3
  • 5
    • 78049362158 scopus 로고    scopus 로고
    • Bayesian-based detection of measurement anomalies in environmental data series
    • Concepsion-Chile
    • Branisavljevic N., Kapelan Z. & Prodanovic D. 2009. Bayesian-Based Detection Of Measurement Anomalies In Environmental Data Series, HYDROINFORMATICS 2009., Concepsion-Chile
    • (2009) Hydroinformatics 2009
    • Branisavljevic, N.1    Kapelan, Z.2    Prodanovic, D.3
  • 6
    • 0037443770 scopus 로고    scopus 로고
    • Areview of process fault detection and diagnosis Part I: Quantitative model-based methods
    • 2003
    • Venkat V., Raghunathan R., Kewen Y. & Surya N. K. 2003. Areview of process fault detection and diagnosis Part I: Quantitative model-based methods, Computers and Chemical Engineering 27 (2003) 293-/311
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 293-311
    • Venkat, V.1    Raghunathan, R.2    Kewen, Y.3    Surya, N.K.4
  • 7
    • 39649100765 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis Part II: Qualitative models and search strategies
    • 2003
    • Venkat V., Raghunathan R., Kewen Y. & Surya N. K. 2003. A review of process fault detection and diagnosis Part II: Qualitative models and search strategies, Computers and Chemical Engineering 27 (2003) 293-/311
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 293-311
    • Venkat, V.1    Raghunathan, R.2    Kewen, Y.3    Surya, N.K.4
  • 8
    • 39649100765 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis Part III: Process history based methods
    • 2003
    • Venkat V., Raghunathan R., Kewen Y. & Surya N. K. 2003.A review of process fault detection and diagnosis Part III: Process history based methods, Computers and Chemical Engineering 27 (2003) 293-/311
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 293-311
    • Venkat, V.1    Raghunathan, R.2    Kewen, Y.3    Surya, N.K.4
  • 9
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    • An overview of anomaly detection techniques: Existing solutions and latest technological trends
    • 2007
    • Patcha A., Park J.-M. 2007. An overview of anomaly detection techniques: Existing solutions and latest technological trends, Computer Networks 51 (2007) 3448-34
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    • Patcha, A.1    Park, J.-M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.