Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach

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    Author
    Augusto, A; Conforti, R; Armas-Cervantes, A; Dumas, M; La Rosa, M
    Date
    2020
    Source Title
    IEEE Transactions on Knowledge and Data Engineering
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    University of Melbourne Author/s
    Augusto, Adriano; Armas Cervantes, Abel; Reissner, Daniel
    Affiliation
    Computing and Information Systems
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Augusto, A., Conforti, R., Armas-Cervantes, A., Dumas, M. & La Rosa, M. (2020). Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. IEEE Transactions on Knowledge and Data Engineering, PP (99), pp.1-1. https://doi.org/10.1109/tkde.2020.3003258.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/219723
    DOI
    10.1109/tkde.2020.3003258

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