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Volumn , Issue , 2010, Pages 59-62

Exploratory novelty identification in human activity data streams

Author keywords

machine learning; novelty detection; Poisson processes

Indexed keywords

ACTIVITY LEVELS; COMMUNICATION CHANNEL; COMMUNICATION TECHNOLOGIES; COMPLEX SOCIAL SYSTEMS; DATA STREAM; EXPLORATORY ANALYSIS; HUMAN ACTIVITIES; HUMAN COMMUNICATIONS; INSTANT MESSAGING; MACHINE-LEARNING; MARKOV-MODULATED POISSON PROCESS; NON-HOMOGENEOUS; NOVELTY DETECTION; POISSON PROCESS;

EID: 78751653651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1878500.1878512     Document Type: Conference Paper
Times cited : (7)

References (5)
  • 5
    • 0001121317 scopus 로고    scopus 로고
    • Poisson/gamma random field models for spatial statistics
    • June
    • R. L. Wolpert and K. Ickstadt. Poisson/gamma random field models for spatial statistics. Biometrika, 85(2):251-267, June 1998.
    • (1998) Biometrika , vol.85 , Issue.2 , pp. 251-267
    • Wolpert, R.L.1    Ickstadt, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.