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Volumn 19, Issue , 2009, Pages 130-143

Discovering multi-perspective process models: The case of loosely-structured processes

Author keywords

Business process intelligence; Decision trees; Process mining

Indexed keywords

ARCHITECTURAL DESIGN; DECISION TREES; INFORMATION SYSTEMS; RISK PERCEPTION;

EID: 64549091925     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-00670-8_10     Document Type: Article
Times cited : (9)

References (15)
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    • Basta, S., Folino, F.,Gualtieri, A.,Mastratisi,M.A., Pontieri, L.:A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes. In: Atzeni, P., Caplinskas, A., Jaakkola, H. (eds.) ADBIS 2008. LNCS, vol. 5207, pp. 140-153. Springer, Heidelberg (2008)
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    • Basta, S.1    Folino, F.2    Gualtieri, A.3    Mastratisi, M.A.4    Pontieri, L.5
  • 2
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    • Learning Classification Trees
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    • Buntine, W.1
  • 3
    • 84911356900 scopus 로고    scopus 로고
    • Frank, E., Hall, M.A., Holmes, G., Kirkby, R., Pfahringer, B.:WEKA - A Machine Learning Workbench for Data Mining. In: The Data Mining and Knowledge Discovery Handbook, pp. 1305-1314. Springer, Heidelberg (2005)
    • Frank, E., Hall, M.A., Holmes, G., Kirkby, R., Pfahringer, B.:WEKA - A Machine Learning Workbench for Data Mining. In: The Data Mining and Knowledge Discovery Handbook, pp. 1305-1314. Springer, Heidelberg (2005)
  • 5
    • 33745134088 scopus 로고    scopus 로고
    • Ly, L.T., 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.T., 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)
  • 6
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    • Some Methods for Classification and Analysis of MultiVariate Observations
    • University of California Press
    • MacQueen, J.B.: Some Methods for Classification and Analysis of MultiVariate Observations. In: 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297. University of California Press (1967)
    • (1967) 5th Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.B.1
  • 8
    • 84911354384 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
  • 9
    • 33749996462 scopus 로고    scopus 로고
    • Rozinat, A., van der Aalst,W.M.P.: Decision Mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, 4102, pp. 420-425. Springer, Heidelberg (2006)
    • Rozinat, A., van der Aalst,W.M.P.: Decision Mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420-425. Springer, Heidelberg (2006)
  • 10
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    • Conformance Checking of Processes Based on Monitoring Real Behavior
    • Rozinat, A., van der Aalst,W.M.P.: Conformance Checking of Processes Based on Monitoring Real Behavior. Information Systems 33(1), 64-95 (2008)
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    • Rozinat, A.1    van der Aalst, W.M.P.2
  • 13
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    • The ProM Framework: A New Era in Process Mining Tool Support
    • Ciardo, G, Darondeau, P, eds, ICATPN 2005, Springer, Heidelberg
    • van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The ProM Framework: A New Era in Process Mining Tool Support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444-454. Springer, Heidelberg (2005)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.