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Volumn 51, Issue 5, 2007, Pages 2670-2687

Discovery, visualization and performance analysis of enterprise workflow

Author keywords

Business process rediscovery; Cure model; Data visualization; Mixture model; Queueing system

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; QUEUEING THEORY; VISUALIZATION;

EID: 33751015708     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.01.008     Document Type: Article
Times cited : (10)

References (14)
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    • The time-rescaling theorem and its applications to neural spike train data analysis
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    • Brown, E.1    Barbieri, R.2    Ventura, V.3    Kass, R.4    Frank, L.5
  • 5
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    • Statistical analysis of a telephone call center: a queueing-science perspective
    • Brown L.D., Gans N., Mandelbaum A., Sakov A., Shen H., Zeltyn S., and Zhao L.H. Statistical analysis of a telephone call center: a queueing-science perspective. JASA 100 (2005) 36-50
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    • Brown, L.D.1    Gans, N.2    Mandelbaum, A.3    Sakov, A.4    Shen, H.5    Zeltyn, S.6    Zhao, L.H.7
  • 6
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    • The use of mixture models for the analysis of survival data with long-term survivors
    • Farewell V.T. The use of mixture models for the analysis of survival data with long-term survivors. Biometrics 38 (1982) 1041-1046
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  • 7
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    • Fraley, C., Raftery, A.E., 2003. MCLUST: software for model-based clustering, density estimation and discriminant analysis, Technical Report No. 415, Department of Statistics University of Washington.
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    • Heavy-traffic limits for queues with many exponential servers
    • Halfin S., and Whitt W. Heavy-traffic limits for queues with many exponential servers. Oper. Res. 29 3 (1981) 567-588
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    • Halfin, S.1    Whitt, W.2
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    • A spike-train probability model
    • Kass R.E., and Ventura V. A spike-train probability model. Neural Comput. 13 8 (2001) 1713-1720
    • (2001) Neural Comput. , vol.13 , Issue.8 , pp. 1713-1720
    • Kass, R.E.1    Ventura, V.2
  • 11
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    • On semiparametric transformation cure models
    • Lu W., and Ying Z. On semiparametric transformation cure models. Biometrika 91 (2004) 331-343
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  • 12
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    • Predicting criminal recidivism using split population survival time models
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    • The use of polynomial splines and their tensor products in extended linear modeling (with discussion)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.