Process event data is a fundamental building block for process mining as event logs portray the execution trails of business processes from which knowledge and insights can be extracted. In this Chapter, we discuss the core structure of event logs, in particular the three main requirements in the form of the presence of case IDs, activity labels, and timestamps. Moreover, we introduce fundamental concepts of event log processing and preparation, including data sources, extraction, correlation and abstraction techniques. The chapter is concluded with an imperative section on data quality, arguably the most important determinant of process mining project success.</p
In recent years, organizations have expressed a rapidly growing interest in improving their end-to-e...
Timestamp information recorded in event logs plays a crucial role in uncovering meaningful insights ...
Process-oriented data mining (process mining) uses algorithms and data (in the form of event logs) t...
Process event data is a fundamental building block for process mining as event logs portray the exec...
Since its emergence over two decades ago, process mining has flourished as a discipline, with numero...
Process mining as described in by Wil van der Aalst in is a combination of data mining and business ...
Increasingly organizations are using process mining to understand the way that operational processes...
Abstract. The research field of process mining deals with the extraction of knowledge from event log...
Abstract. Increasingly organizations are using process mining to under-stand the way that operationa...
The execution of processes in companies generates traces of event data, stored in the underlying inf...
The basic idea of process mining is to extract knowledge from event logs recorded by an information ...
Event data is the basis for all process mining analysis. Most process mining techniques assume their...
Process mining techniques target the automatic discovery of information about process models in orga...
Abstract. The growing interest in process mining is fueled by the in-creasing availability of event ...
The growing interest in process mining is fueled by the increasing availability of event data. Proce...
In recent years, organizations have expressed a rapidly growing interest in improving their end-to-e...
Timestamp information recorded in event logs plays a crucial role in uncovering meaningful insights ...
Process-oriented data mining (process mining) uses algorithms and data (in the form of event logs) t...
Process event data is a fundamental building block for process mining as event logs portray the exec...
Since its emergence over two decades ago, process mining has flourished as a discipline, with numero...
Process mining as described in by Wil van der Aalst in is a combination of data mining and business ...
Increasingly organizations are using process mining to understand the way that operational processes...
Abstract. The research field of process mining deals with the extraction of knowledge from event log...
Abstract. Increasingly organizations are using process mining to under-stand the way that operationa...
The execution of processes in companies generates traces of event data, stored in the underlying inf...
The basic idea of process mining is to extract knowledge from event logs recorded by an information ...
Event data is the basis for all process mining analysis. Most process mining techniques assume their...
Process mining techniques target the automatic discovery of information about process models in orga...
Abstract. The growing interest in process mining is fueled by the in-creasing availability of event ...
The growing interest in process mining is fueled by the increasing availability of event data. Proce...
In recent years, organizations have expressed a rapidly growing interest in improving their end-to-e...
Timestamp information recorded in event logs plays a crucial role in uncovering meaningful insights ...
Process-oriented data mining (process mining) uses algorithms and data (in the form of event logs) t...