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Volumn 32, Issue , 2014, Pages 207-214

Enabling self-learning in dynamic and open Iot environments

Author keywords

Apriori frequent set mining; Correlation mining; Internet of Things (IoT); Kullback Leibler divergence; Self learning

Indexed keywords

ENERGY CONSERVATION; LEARNING ALGORITHMS;

EID: 84902689348     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2014.05.416     Document Type: Conference Paper
Times cited : (37)

References (11)
  • 3
    • 77950247206 scopus 로고    scopus 로고
    • Machine learning methods for classifying human physical activity from on-body accelerometers
    • doi:10.3390/s100201154
    • Mannini, A., Sabatini, A.M. Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors 2010;10(2):1154-1175. doi:10.3390/s100201154.
    • (2010) Sensors , vol.10 , Issue.2 , pp. 1154-1175
    • Mannini, A.1    Sabatini, A.M.2
  • 5
    • 51849124071 scopus 로고    scopus 로고
    • Activity recognition via user-trace segmentation
    • Yin, J., Yang, Q., Shen, D., Li, Z.N. Activity recognition via user-trace segmentation. ACM Trans Sen Netw 2008;4(4):19:1-19:34.
    • (2008) ACM Trans Sen Netw , vol.4 , Issue.4 , pp. 1901-1934
    • Yin, J.1    Yang, Q.2    Shen, D.3    Li, Z.N.4
  • 11
    • 33750931971 scopus 로고    scopus 로고
    • A unifying view of image similarity
    • Proceedings. 15th International Conference on, vol.1
    • Vasconcelos, N., Lippman, A. A unifying view of image similarity. In: Pattern Recognition, 2000. Proceedings. 15th International Conference on; vol. 1. 2000, p. 38-41 vol.1.
    • (2000) Pattern Recognition 2000 , vol.1 , pp. 38-41
    • Vasconcelos, N.1    Lippman, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.