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Volumn , Issue , 2010, Pages 1069-1075

Discovering temporal features and relations of activity patterns

Author keywords

Clustering; Rule mining; Smart homes; Temporal association rules; Temporal features; Temporal relations

Indexed keywords

CLUSTERING; RULE MINING; SMART HOMES; TEMPORAL ASSOCIATION RULES; TEMPORAL FEATURES; TEMPORAL RELATIONS;

EID: 79951765693     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2010.164     Document Type: Conference Paper
Times cited : (38)

References (16)
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    • Campbell, N.A.1
  • 8
    • 0001138328 scopus 로고
    • Algorithm as 136: A k-means clustering algorithm
    • Series C (Applied Statistics
    • J. A. Hartigan and M. A. Wong, "Algorithm AS 136: A K-Means Clustering Algorithm", Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 28, no 1, pp. 100-108, 1979.
    • (1979) Journal of The Royal Statistical Society , vol.28 , Issue.1 , pp. 100-108
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  • 9
    • 68049121093 scopus 로고    scopus 로고
    • Anomaly detection: A survey
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    • V. Chandola, A. Banerjee, and V. Kumar, "Anomaly detection: A survey", ACM Comput. Surv, vol. 41, no. 3, pp. 1-58, Jul. 2009.
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  • 11
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  • 15
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    • Time and time again: The many ways to represent time
    • July
    • J. F. Allen, "Time and time again: The many ways to represent time", International Journal. of Intelligent Systems, vol. 6, no. 4, pp. 341-356, July 1991.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.