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Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions
Business process compliance is a key area of business process management and aims at
ensuring that processes obey to compliance constraints such as regulatory constraints or …
ensuring that processes obey to compliance constraints such as regulatory constraints or …
Recent Advances in Data-Driven Business Process Management
The rapid development of cutting-edge technologies, the increasing volume of data and also
the availability and processability of new types of data sources has led to a paradigm shift in …
the availability and processability of new types of data sources has led to a paradigm shift in …
A framework for extracting and encoding features from object-centric event data
Traditional process mining techniques take event data as input where each event is
associated with exactly one object. An object represents the instantiation of a process …
associated with exactly one object. An object represents the instantiation of a process …
DataStream XES extension: embedding IoT sensor data into extensible event stream logs
The Internet of Things (IoT) has been shown to be very valuable for Business Process
Management (BPM), for example, to better track and control process executions. While IoT …
Management (BPM), for example, to better track and control process executions. While IoT …
Towards a comprehensive evaluation of decision rules and decision mining algorithms beyond accuracy
Decision mining algorithms discover decision points and the corresponding decision rules in
business processes. So far, the evaluation of decision mining algorithms has focused on …
business processes. So far, the evaluation of decision mining algorithms has focused on …
Decision mining with time series data based on automatic feature generation
Decision rules play a crucial role in business process execution. Knowing and
understanding decision rules is of utmost importance for business process analysis and …
understanding decision rules is of utmost importance for business process analysis and …
Predicting unseen process behavior based on context information from compliance constraints
Predictive process monitoring (PPM) offers multiple benefits for enterprises, eg, the early
planning of resources. The success of PPM-based actions depends on the prediction quality …
planning of resources. The success of PPM-based actions depends on the prediction quality …
From process-agnostic to process-aware automation, mining, and prediction
The entire research area of (business) process management has experienced a tremendous
push with the advent of process mining, robotic process automation, and predictive process …
push with the advent of process mining, robotic process automation, and predictive process …
Online decision mining and monitoring in process-aware information systems
Decision mining enables discovery of decision rules guiding the control flow in processes.
Existing decision mining techniques deal with different kinds of decision rules, eg …
Existing decision mining techniques deal with different kinds of decision rules, eg …
Clustering raw sensor data in process logs to detect data streams
The execution and analysis of processes is strongly influenced by sensor streams, eg,
temperature, that are measured in parallel to the process execution and stored in process …
temperature, that are measured in parallel to the process execution and stored in process …