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Volumn , Issue , 2010, Pages

Clustering elliptical anomalies in sensor networks

Author keywords

Anomaly detection; Elliptical similarity; Visual assessment of clustering tendency; Wireless sensor networks

Indexed keywords

ANOMALY DETECTION; ELLIPTICAL SIMILARITY; HIGHER ORDER; LEVEL SET; VISUAL ASSESSMENTS; VISUAL INSPECTION; WIRELESS SENSOR;

EID: 78549267848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2010.5584464     Document Type: Conference Paper
Times cited : (12)

References (11)
  • 1
    • 51249089432 scopus 로고    scopus 로고
    • CESVM: Centered hyperellipsoidal support vector machine based anomaly detection
    • S. Rajasegarar, C. Leckie and M. Palaniswami. "CESVM: Centered hyperellipsoidal support vector machine based anomaly detection", Proc. IEEE ICC 2008, 1610-1614, 2008.
    • (2008) Proc. IEEE ICC 2008 , pp. 1610-1614
    • Rajasegarar, S.1    Leckie, C.2    Palaniswami, M.3
  • 2
    • 75149159654 scopus 로고    scopus 로고
    • Elliptical anomalies in wireless sensor networks
    • S. Rajasegarar, J. C. Bezdek, C. Leckie and M. Palaniswami. "Elliptical Anomalies in Wireless Sensor Networks", ACM TOSN, 6(1), 1550-1579, 2009.
    • (2009) ACM TOSN , vol.6 , Issue.1 , pp. 1550-1579
    • Rajasegarar, S.1    Bezdek, J.C.2    Leckie, C.3    Palaniswami, M.4
  • 3
    • 77950926173 scopus 로고    scopus 로고
    • Anomaly detection by clustering ellipsoids in wireless sensor networks
    • Melbourne, Australia
    • M. Moshtaghi, S. Rajasegarar, C. Leckie and S. Karunasekera. "Anomaly detection by clustering ellipsoids in wireless sensor networks", Proc. ISSNIP 2009, pp. 7-10, Melbourne, Australia, 2009.
    • (2009) Proc. ISSNIP 2009 , pp. 7-10
    • Moshtaghi, M.1    Rajasegarar, S.2    Leckie, C.3    Karunasekera, S.4
  • 7
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • Springer Netherlands
    • V. Hodge. and J. Austin. "A survey of outlier detection methodologies", AI Review, Springer Netherlands, pp. 85-126, 2004.
    • (2004) AI Review , pp. 85-126
    • Hodge., V.1    Austin, J.2
  • 8
    • 38149017263 scopus 로고    scopus 로고
    • Separating the wheat from the chaff: Practical anomaly detection schemes in ecological applications of distributed sensor networks
    • Santa Fe
    • L. M. A. Bettencourt, A. A. Hagberg and L. B. Larkey. "Separating the wheat from the chaff: practical anomaly detection schemes in ecological applications of distributed sensor networks", Proc. Distributed Computing in Sensor Systems. Santa Fe, pp. 223-239, 2007.
    • (2007) Proc. Distributed Computing in Sensor Systems , pp. 223-239
    • Bettencourt, L.M.A.1    Hagberg, A.A.2    Larkey, L.B.3
  • 11
    • 84865083349 scopus 로고    scopus 로고
    • A recursive formulation of the improved visual assessment of cluster tendency (iVAT) algorithm
    • in review
    • T. C. Havens and J.C. Bezdek. A recursive formulation of the improved visual assessment of cluster tendency (iVAT) algorithm. In review, IEEE TKDE, 2010
    • (2010) IEEE TKDE
    • Havens, T.C.1    Bezdek, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.