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Volumn , Issue , 2011, Pages 91-95

Anomaly detection in temperature data using DBSCAN algorithm

Author keywords

anamoly detection in time series data; DBSCAN algorithm; temperature data

Indexed keywords

ANAMOLY DETECTION IN TIME SERIES DATA; ANOMALY DETECTION; APPLICATION DOMAINS; CLIMATE STUDIES; COMMUNICATION SERVICE; DATA SETS; DBSCAN ALGORITHM; DENSITY-BASED CLUSTERING ALGORITHMS; EXPERIMENTAL EVALUATION; PUBLIC HEALTH; STATISTICAL APPROACH; TEMPERATURE DATA;

EID: 79961187856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INISTA.2011.5946052     Document Type: Conference Paper
Times cited : (161)

References (7)
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    • 7544223741 scopus 로고    scopus 로고
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    • October
    • V. Hodge and J. Austin, "A survey of outlier detection methodologies," Artificial Intelligence Review, vol. 22, pp. 85-126, October 2004.
    • (2004) Artificial Intelligence Review , vol.22 , pp. 85-126
    • Hodge, V.1    Austin, J.2
  • 4
    • 25844450147 scopus 로고    scopus 로고
    • Outlier detection algorithms in data mining systems
    • July-August
    • M. Petrovskiy, "Outlier detection algorithms in data mining systems," Programming and Computing Software, vol. 29, pp. 228-237, July-August 2003.
    • (2003) Programming and Computing Software , vol.29 , pp. 228-237
    • Petrovskiy, M.1
  • 5
    • 0000550189 scopus 로고    scopus 로고
    • A density based algorithm for discovering clusters in large spatial databases with noise
    • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu, "A density based algorithm for discovering clusters in large spatial databases with noise," in KDD-96 Proceedings, pp. 226-231, 1996.
    • (1996) KDD-96 Proceedings , pp. 226-231
    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Xu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.