In this archive, we provide supplementary material for our paper entitled "Mine Me but Don’t Single Me Out: DifferentiallyPrivate Event Logs for Process Mining". We list the selected event logs and their characteristics and descriptive statistics. Also, this archive contains the anonymized event logs as the result of the experiments. The source code is available on GitHub
Nowadays, all kinds of information systems store detailed information in logs. Process mining has em...
Abstract. The research field of process mining deals with the extraction of knowledge from event log...
In the area of industrial process mining, privacy-preserving event data publication is becoming incr...
In this document, we provide supplementary material for the paper entitled "Mine Me but Don't Single...
The anonymized event logs of the experiments in the paper "Differentially Private Release of Event L...
In this document, we list the selected event logs, their characteristics, and their descriptive sta...
The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-019-00613-3Priva...
International audienceProcess mining aims to bridge the gap between data science and process science...
This dataset contains results of the experiment to analyze information preservation and recovery by ...
Event logs recorded during the execution of business processes constitute a valuable source of infor...
Process mining is the research area that is concerned with knowledge discovery from event logs, whic...
Privacy regulations for data can be regarded as amajor driver for data sovereignty measures. A speci...
The basic idea of process mining is to extract knowledge from event logs recorded by an information ...
Free/Libre Open Source Software (FLOSS) is a phenomenon that has undoubtedly triggered extensive res...
The growing complexity of software with respect to technological advances encourages model-based ana...
Nowadays, all kinds of information systems store detailed information in logs. Process mining has em...
Abstract. The research field of process mining deals with the extraction of knowledge from event log...
In the area of industrial process mining, privacy-preserving event data publication is becoming incr...
In this document, we provide supplementary material for the paper entitled "Mine Me but Don't Single...
The anonymized event logs of the experiments in the paper "Differentially Private Release of Event L...
In this document, we list the selected event logs, their characteristics, and their descriptive sta...
The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-019-00613-3Priva...
International audienceProcess mining aims to bridge the gap between data science and process science...
This dataset contains results of the experiment to analyze information preservation and recovery by ...
Event logs recorded during the execution of business processes constitute a valuable source of infor...
Process mining is the research area that is concerned with knowledge discovery from event logs, whic...
Privacy regulations for data can be regarded as amajor driver for data sovereignty measures. A speci...
The basic idea of process mining is to extract knowledge from event logs recorded by an information ...
Free/Libre Open Source Software (FLOSS) is a phenomenon that has undoubtedly triggered extensive res...
The growing complexity of software with respect to technological advances encourages model-based ana...
Nowadays, all kinds of information systems store detailed information in logs. Process mining has em...
Abstract. The research field of process mining deals with the extraction of knowledge from event log...
In the area of industrial process mining, privacy-preserving event data publication is becoming incr...