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Volumn 8111 LNCS, Issue PART 1, 2013, Pages 491-498

Data improvement to enable process mining on integrated non-log data sources

Author keywords

Data Enrichment; Data Integration; Data Quality Improvement; Process Mining

Indexed keywords

DATA MINING; METADATA; SYSTEM THEORY;

EID: 84892608067     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-53856-8_62     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 2
    • 84863011087 scopus 로고    scopus 로고
    • Process mining manifesto
    • Daniel, F., Barkaoui, K., Dustdar, S. (eds.) Springer, Heidelberg
    • van der Aalst, W.M.P., et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011 Workshops, Part I. LNBIP, vol. 99, pp. 169-194. Springer, Heidelberg (2012)
    • (2012) BPM 2011 Workshops, Part I. LNBIP , vol.99 , pp. 169-194
    • Van Der Aalst, W.M.P.1
  • 5
    • 84870302283 scopus 로고    scopus 로고
    • Process mining for the multi-faceted analysis of business processes: A case study in a financial services organization
    • De Weerdt, J., Schupp, A., Vanderloock, A., Baesens, B.: Process mining for the multi-faceted analysis of business processes: A case study in a financial services organization. Computers in Industry 64(1), 57-67 (2013)
    • (2013) Computers in Industry , vol.64 , Issue.1 , pp. 57-67
    • De Weerdt, J.1    Schupp, A.2    Vanderloock, A.3    Baesens, B.4
  • 6
    • 82155166482 scopus 로고    scopus 로고
    • Assessing medical treatment compliance based on formal process modeling
    • Holzinger, A., Simonic, K.- M. (eds. Springer, Heidelberg
    • Dunkl, R., Fröschl, K.A., Grossmann, W., Rinderle-Ma, S.: Assessing medical treatment compliance based on formal process modeling. In: Holzinger, A., Simonic, K.- M. (eds.) USAB 2011. LNCS, vol. 7058, pp. 533-546. Springer, Heidelberg (2011)
    • (2011) USAB 2011. LNCS , vol.7058 , pp. 533-546
    • Dunkl, R.1    Fröschl, K.A.2    Grossmann, W.3    Rinderle-Ma, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.