W. L. J. Lee, H. M. W. Verbeek, J. Munoz-Gama, W. M. P. van der Aalst, and M. Sepúlveda, “Recomposing conformance: closing the circle on decomposed alignment-based conformance checking in process mining,” Information sciences, vol. 466, pp. 55-91, 2018. [Bibtex]
W. L. J. Lee, J. Munoz-Gama, H. M. W. Verbeek, W. M. P. van der Aalst, and M. Sepúlveda, “Improving merging conditions for recomposing conformance checking,” in Proceedings of the BPI 2018 workshop, 2018. [Bibtex]
Log moves that did not have a corresponding transition in the model were not counted for in the raw fitness costs. Such moves were not part of any subalignment, and hence were not counted for. Many thanks to Jonathan Lee for noticing the bug.
As a result of the bug, a model move could be seen as a log move, which caused the merge of the subalignments to block. As a result of the bug fix, the option to prefer synchronous moves on the border transitions has been reinstated. Earlier on, this option resulted in these blocking merges, quite … [Read more…]
The paper titled “Divide And Conquer: A Tool Framework for Supporting Decomposed Discovery in Process Mining” accepted for publication in The Computer Journal. Abstract Process mining has been around for more than a decade now, and in that period several discovery algorithms have been introduced that work fairly well on average-sized event logs, that is, … [Read more…]
G. Acampora, A. Vitiello, B. Di Stefano, W. M. P. van der Aalst, C. W. Günther, and H. M. W. Verbeek, “IEEE 1849TM: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society,” IEEE Computational Intelligence Magazine, pp. 4-8, 2017. [Bibtex] @Article{Acampora17, Title = {{IEEE 1849TM: The XES Standard: The Second IEEE … [Read more…]
The paper titled “Decomposed Replay Using Hiding and Reduction as Abstraction” has been accepted for publication in the ToPNoC issue that includes selected ATPN 2017 workshop papers. Abstract In the area of process mining, decomposed replay has been proposed to be able to deal with nets and logs containing many different activities. The main assumption … [Read more…]
A new plug-in has been added to the Divide-and-Conquer framework: The “Replay using Recomposition” plug-in. Initially, this plug-in is similar to the “Replay with Decomposition” plug-in, but it does not stop there. Where the “Replay with Decomposition” plug-in stops after having done the decomposed replay, the “Replay with Recomposition” possibly continues to improve on the … [Read more…]
With 193 correct classifications out of 200, our DrFurby Classifier has won the Process Discovery Contest @ BPM 2016! See also our BPM Center Report BPM-16-08 on the DrFurby Classifier.
The Divide and Conquer framework (for decomposed discovery and decomposed replay) now also supports a move-on-model activity. A transition that is mapped to this activity will always result in a visible move-on-model in the replayer, like a transition that is mapped to the invisible activity will always result in an invisible move-on-model. The difference between … [Read more…]
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