This dataset contains all the models and tools necessary to reproduce the experiments reported in the paper titled:<div><br></div><div><div>"Abstract-and-Compare: A Family of Scalable Precision</div><div>Measures for Automated Process Discovery"</div></div
Several approaches have been proposed to relax behavioral equivalences for fine-grain models includ...
http://deepblue.lib.umich.edu/bitstream/2027.42/5940/5/bam4573.0001.001.pdfhttp://deepblue.lib.umich...
Process discovery algorithms typically aim at discovering process models from event logs that best d...
This zip contains all the publicly available data used for the evaluation of a new approach for asse...
Automated process discovery techniques allow us to extract business process models from event logs. ...
Abstract. We propose a family of new evaluation measures, called Markov Precision (MP), which exploi...
\u3cp\u3eIn process mining, precision measures are used to quantify how much a process model overapp...
Abstract—Process Conformance is becoming a crucial area due to the changing nature of processes with...
This collection contains the event logs and process models described and used in the paper "The Impr...
Markov chains, discovered over one hundred years ago by Andrey Markov in an\ud attempt to analyze th...
Considerable amounts of data, including process events, are collected and stored by organisations no...
The comparison of the languages of software systems, i.e., their behaviours in terms of specified ex...
The management of business processes has recently received a lot of attention from companies, since ...
Process Conformance is becoming a crucial area due to the changing nature of processes within an Inf...
The holy grail in process mining is an algorithm that, given an event log, produces fitting, precise...
Several approaches have been proposed to relax behavioral equivalences for fine-grain models includ...
http://deepblue.lib.umich.edu/bitstream/2027.42/5940/5/bam4573.0001.001.pdfhttp://deepblue.lib.umich...
Process discovery algorithms typically aim at discovering process models from event logs that best d...
This zip contains all the publicly available data used for the evaluation of a new approach for asse...
Automated process discovery techniques allow us to extract business process models from event logs. ...
Abstract. We propose a family of new evaluation measures, called Markov Precision (MP), which exploi...
\u3cp\u3eIn process mining, precision measures are used to quantify how much a process model overapp...
Abstract—Process Conformance is becoming a crucial area due to the changing nature of processes with...
This collection contains the event logs and process models described and used in the paper "The Impr...
Markov chains, discovered over one hundred years ago by Andrey Markov in an\ud attempt to analyze th...
Considerable amounts of data, including process events, are collected and stored by organisations no...
The comparison of the languages of software systems, i.e., their behaviours in terms of specified ex...
The management of business processes has recently received a lot of attention from companies, since ...
Process Conformance is becoming a crucial area due to the changing nature of processes within an Inf...
The holy grail in process mining is an algorithm that, given an event log, produces fitting, precise...
Several approaches have been proposed to relax behavioral equivalences for fine-grain models includ...
http://deepblue.lib.umich.edu/bitstream/2027.42/5940/5/bam4573.0001.001.pdfhttp://deepblue.lib.umich...
Process discovery algorithms typically aim at discovering process models from event logs that best d...
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