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Volumn , Issue , 2015, Pages 410-418

User session identification based on strong regularities in inter-Activity time

Author keywords

Activity; Analytics; Human behavior; Metrics; Modeling; Regularities; User session

Indexed keywords

MODELS; THERMODYNAMIC PROPERTIES; WORLD WIDE WEB;

EID: 84968918632     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2736277.2741117     Document Type: Conference Paper
Times cited : (69)

References (23)
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    • Empirical characterization of session-based workload and reliability for web servers
    • K. Goseva-Popstojanova, A. D. Singh, S. Mazimdar, and F. Li. Empirical characterization of session-based workload and reliability for web servers. Empirical Software Engineering, 11(1):71-117, 2006.
    • (2006) Empirical Software Engineering , vol.11 , Issue.1 , pp. 71-117
    • Goseva-Popstojanova, K.1    Singh, A.D.2    Mazimdar, S.3    Li, F.4
  • 14
    • 85008590372 scopus 로고    scopus 로고
    • Identifying web browsing trends and patterns
    • A. L. Montgomery and C. Faloutsos. Identifying web browsing trends and patterns. Computer, 34(7):94-95, 2001.
    • (2001) Computer , vol.34 , Issue.7 , pp. 94-95
    • Montgomery, A.L.1    Faloutsos, C.2
  • 17
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    • Differences between web sessions according to the origin of their visits
    • J. L. Ortega and I. Aguillo. Differences between web sessions according to the origin of their visits. Journal of Informetrics, 4(3):331-337, 2010.
    • (2010) Journal of Informetrics , vol.4 , Issue.3 , pp. 331-337
    • Ortega, J.L.1    Aguillo, I.2
  • 20
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    • A framework for the evaluation of session reconstruction heuristics in web-usage analysis
    • M. Spiliopoulou, B. Mobasher, B. Berendt, and M. Nakagawa. A framework for the evaluation of session reconstruction heuristics in web-usage analysis. Informs journal on computing, 15(2):171-190, 2003.
    • (2003) Informs Journal on Computing , vol.15 , Issue.2 , pp. 171-190
    • Spiliopoulou, M.1    Mobasher, B.2    Berendt, B.3    Nakagawa, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.