Privacy and confidentiality are very important prerequisites for applying process mining to comply with regulations and keep company secrets. This article provides a foundation for future research on privacy-preserving and confidential process mining techniques. Main threats are identified and related to a motivation application scenario in a hospital context as well as to the current body of work on privacy and confidentiality in process mining. A newly developed conceptual model structures the discussion that existing techniques leave room for improvement. This results in a number of important research challenges that should be addressed by future process mining research
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
The rapid use of data mining technologies brings threat to the information security. For data proces...
Data mining techniques provide benefits in many areas such as medicine, sports, marketing, signal pr...
Privacy and confidentiality are very important prerequisites for applying process mining to comply w...
Process mining has been successfully applied in the healthcare domain and helped to uncover various ...
Process mining has been successfully applied in the healthcare domain and has helped to uncover vari...
Despite enormous benefits and the extremely fast proliferation of data mining in recent years, data ...
International audienceProcess mining aims to bridge the gap between data science and process science...
Operators in industrial manufacturing environments are under pressure to cope with increasing flexib...
The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-019-00613-3Priva...
This paper summarizes the panel discussion at the 1st Workshop on Trust and Privacy in Process Analy...
The success of data mining relies on the availability of high quality data. To ensure quality data m...
[EN] Process mining is gaining significant importance in the healthcare domain, where the quality of...
Abstract — Recent interest in the collection and monitoring of data using data mining technology for...
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
The rapid use of data mining technologies brings threat to the information security. For data proces...
Data mining techniques provide benefits in many areas such as medicine, sports, marketing, signal pr...
Privacy and confidentiality are very important prerequisites for applying process mining to comply w...
Process mining has been successfully applied in the healthcare domain and helped to uncover various ...
Process mining has been successfully applied in the healthcare domain and has helped to uncover vari...
Despite enormous benefits and the extremely fast proliferation of data mining in recent years, data ...
International audienceProcess mining aims to bridge the gap between data science and process science...
Operators in industrial manufacturing environments are under pressure to cope with increasing flexib...
The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-019-00613-3Priva...
This paper summarizes the panel discussion at the 1st Workshop on Trust and Privacy in Process Analy...
The success of data mining relies on the availability of high quality data. To ensure quality data m...
[EN] Process mining is gaining significant importance in the healthcare domain, where the quality of...
Abstract — Recent interest in the collection and monitoring of data using data mining technology for...
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
The rapid use of data mining technologies brings threat to the information security. For data proces...
Data mining techniques provide benefits in many areas such as medicine, sports, marketing, signal pr...