메뉴 건너뛰기




Volumn 37, Issue 2, 2010, Pages 1169-1178

A comparison of outlier detection algorithms for ITS data

Author keywords

Density based; Distance based; Outlier detection; Statistics based; Traffic data

Indexed keywords

DATA SETS; DENSITY-BASED; DISTANCE-BASED; ENSEMBLE LEARNING; INTELLIGENT TRANSPORTATION SYSTEMS; ITS DATA; LOCAL OUTLIERS; OUTLIER DETECTION; OUTLIER DETECTION ALGORITHM; OUTLIER MINING; TIME COMPLEXITY; TRAFFIC DATA; TRAFFIC ENGINEERING; TRAFFIC FLOW; TRAFFIC MODEL; TRAVEL TIME DATA; TRAVEL TIME PREDICTION;

EID: 71749107907     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.008     Document Type: Article
Times cited : (80)

References (16)
  • 2
    • 85163661028 scopus 로고    scopus 로고
    • Ban, X. (Jeff), Li, Y., & Skabardonis, A. (2007). Local MAD method for probe vehicle data processing. In Proceedings of the 14th world congress of intelligent transportation systems (ITSWC 2007), Beijing, China.
    • Ban, X. (Jeff), Li, Y., & Skabardonis, A. (2007). Local MAD method for probe vehicle data processing. In Proceedings of the 14th world congress of intelligent transportation systems (ITSWC 2007), Beijing, China.
  • 7
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • New York, USA
    • Knorr, E., & Ng, R. (1998). Algorithms for mining distance-based outliers in large datasets. In Proceedings of the 24th VLDB conference (pp. 392-403). New York, USA.
    • (1998) Proceedings of the 24th VLDB conference , pp. 392-403
    • Knorr, E.1    Ng, R.2
  • 8
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outlier: Algorithms and applications
    • Knorr E., Ng R., and Tucakov V. Distance-based outlier: Algorithms and applications. VLDBJ 8 3-4 (2000) 237-253
    • (2000) VLDBJ , vol.8 , Issue.3-4 , pp. 237-253
    • Knorr, E.1    Ng, R.2    Tucakov, V.3
  • 10
    • 1842428183 scopus 로고    scopus 로고
    • Empirical Approaches to Outlier Detection in Intelligent Transportation Systems Data
    • Park E.S., Turner S., and Spiegelman C.H. Empirical Approaches to Outlier Detection in Intelligent Transportation Systems Data. Transportation Research Record 1840 (2003) 21-30
    • (2003) Transportation Research Record , vol.1840 , pp. 21-30
    • Park, E.S.1    Turner, S.2    Spiegelman, C.H.3
  • 14
    • 0034432788 scopus 로고    scopus 로고
    • Archived intelligent transportation system data quality: Preliminary analyses of San Antonio transguide data
    • TRB, National Research Council, Washington, DC
    • Turner S.M., Albert L., Gajewski B., and Eisele W. Archived intelligent transportation system data quality: Preliminary analyses of San Antonio transguide data. Transportation Research Record: Journal of the Transportation Research Board 1719 (2000) 77-84 TRB, National Research Council, Washington, DC
    • (2000) Transportation Research Record: Journal of the Transportation Research Board , vol.1719 , pp. 77-84
    • Turner, S.M.1    Albert, L.2    Gajewski, B.3    Eisele, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.