Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet addressed the challenges of drift categorization, drilling-down, and quantification. In this tool demonstration paper, we present a novel software tool to analyze process drifts, called Visual Drift Detection (VDD), which fulfills these requirements. The tool is of benefit to the researchers and practitioners in the business intelligence and process analytics area, and can constitute a valuable aid to those who are involved in business process redesign endeavors
Organisations have seen a rise in the volume of data correspondingto business processes being record...
Early detection of business process drifts from event logs enables analysts to identify changes that...
Work in organisations is often structured into business processes, implemented using process-aware i...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Research on concept drift detection has inspired recent advancements of process mining and expanding...
Research on concept drift detection has inspired recent advancements of process mining and expanding...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Event sequence data is increasingly available in various application domains, such as business proce...
Business processes are prone to continuous and unexpected changes. Process workers may start executi...
This research contributes a set of techniques for the early detection and characterization of proces...
Organisations have seen a rise in the volume of data corresponding to business processes being recor...
Business processes are prone to unexpected changes, as process workers may suddenly or gradually sta...
Business processes are prone to unexpected changes, as process workers may suddenly or gradually sta...
Organisations have seen a rise in the volume of data correspondingto business processes being record...
Early detection of business process drifts from event logs enables analysts to identify changes that...
Work in organisations is often structured into business processes, implemented using process-aware i...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Research on concept drift detection has inspired recent advancements of process mining and expanding...
Research on concept drift detection has inspired recent advancements of process mining and expanding...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Recent research has introduced ideas from concept drift into process mining to enable the analysis o...
Event sequence data is increasingly available in various application domains, such as business proce...
Business processes are prone to continuous and unexpected changes. Process workers may start executi...
This research contributes a set of techniques for the early detection and characterization of proces...
Organisations have seen a rise in the volume of data corresponding to business processes being recor...
Business processes are prone to unexpected changes, as process workers may suddenly or gradually sta...
Business processes are prone to unexpected changes, as process workers may suddenly or gradually sta...
Organisations have seen a rise in the volume of data correspondingto business processes being record...
Early detection of business process drifts from event logs enables analysts to identify changes that...
Work in organisations is often structured into business processes, implemented using process-aware i...