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Volumn 5680 LNAI, Issue , 2009, Pages 155-169

Agent assignment for process management: Pattern based agent performance evaluation

Author keywords

Agent Assignment; Business Benefit; Machine Learning; Pattern base Agent Performance Evaluation; Process; Workflow

Indexed keywords

BUSINESS BENEFIT; MACHINE LEARNING; PATTERN BASE AGENT PERFORMANCE EVALUATION; PROCESS; WORKFLOW;

EID: 69949136920     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03603-3_12     Document Type: Conference Paper
Times cited : (5)

References (15)
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    • Rozinat, A., van der Aalst, W.M.P.: Decision Mining in Business Processes. Developmental Review (2006), http://prom.win.tue.nl/research/wiki/ publications/beta-164 BPM Center Report BPM-06-10, BPMcenter.org
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    • Cao, L.1    Zhang, C.2    Yu, P.3
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    • A Machine Learning Approach to Semi-Automating Workflow Staff Assignment
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    • Yingbo, L., Jianmin, W., Jiaguang, S.: A Machine Learning Approach to Semi-Automating Workflow Staff Assignment. In: SAC 2007, Seol, Korea (2007)
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    • Yingbo, L.1    Jianmin, W.2    Jiaguang, S.3
  • 7
    • 33745134088 scopus 로고    scopus 로고
    • Ly, L., Rinderle, S., Dadam, P., Reichert, M.: Mining Staff Assignment Rules from Event-Based Data. In: Bussler, C.J., Haller, A. (eds.) BPM 2005. LNCS, 3812, pp. 177-190. Springer, Heidelberg (2006)
    • Ly, L., Rinderle, S., Dadam, P., Reichert, M.: Mining Staff Assignment Rules from Event-Based Data. In: Bussler, C.J., Haller, A. (eds.) BPM 2005. LNCS, vol. 3812, pp. 177-190. Springer, Heidelberg (2006)
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    • Towards Comprehensive Support for Organizational Mining
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    • Song, M., von der Aalst, W.M.P.: Towards Comprehensive Support for Organizational Mining, BETA Working Paper Series, WP 211, Eindhoven University of Technology
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    • Song, M.1    von der Aalst, W.M.P.2
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    • Capturing Business Benefits from Process Improvement: Four Fallacies and What to Do About Them
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    • Bannerman, P.L.: Capturing Business Benefits from Process Improvement: Four Fallacies and What to Do About Them. In: BIPI 2008, Leipzig, Germany (2008)
    • (2008) BIPI
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    • Quinlan, R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993)
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    • Genetic Process Mining
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    • van der Aalst, W.M.P., de Medeiros, A.K.A., Weijters, A.J.M.M.: Genetic Process Mining. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 48-69. Springer, Heidelberg (2005)
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    • van der Aalst, W.M.P.1    de Medeiros, A.K.A.2    Weijters, A.J.M.M.3
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    • Discovering Workflow Performance Models from Timed Logs
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    • van der Aalst, W.M.P., van Dongen, B.F.: Discovering Workflow Performance Models from Timed Logs. In: Han, Y., Tai, S., Wikarski, D. (eds.) EDCIS 2002. LNCS, vol. 2480, pp. 45-63. Springer, Heidelberg (2002)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.