Tags give the ability to mark specific points in history as being important
  • v2.0.0   Added features: - new db - new cache - new algs - added incremental learning - added time series prediction - added intercase encodings
    Release Nirdizati2.0

    Published at BPM 2019

    PDF available at: https://pdfs.semanticscholar.org/37d0/c4cb65aa38c38175565520f1b651b99d3644.pdf

    Use this format to cite this work:

    @inproceedings{DBLP:conf/bpm/RizziSFGKM19,
      author    = {Williams Rizzi and
                   Luca Simonetto and
                   Chiara Di Francescomarino and
                   Chiara Ghidini and
                   T{\~{o}}nis Kasekamp and
                   Fabrizio Maria Maggi},
      title     = {Nirdizati 2.0: New Features and Redesigned Backend},
      booktitle = {Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration
                   Track at {BPM} 2019 co-located with 17th International Conference
                   on Business Process Management, {BPM} 2019, Vienna, Austria, September
                   1-6, 2019},
      pages     = {154--158},
      year      = {2019},
      url       = {http://ceur-ws.org/Vol-2420/paperDT8.pdf},
      timestamp = {Fri, 30 Aug 2019 13:15:06 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/bpm/RizziSFGKM19},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }

    Added:

    • new db
    • new cache
    • new algorithms
    • incremental learning algorithms
    • time series prediction
    • intercase encodings
  • v1.0.0
    b1f67b91 · Final performance tests ·
    Release Thesis release

    Master's thesis done. Yay.