[HTML][HTML] Automated discovery of declarative process models with correlated data conditions
Automated process discovery techniques enable users to generate business process
models from event logs extracted from enterprise information systems. Traditional …
models from event logs extracted from enterprise information systems. Traditional …
Ai-empowered process mining for complex application scenarios: survey and discussion
F Folino, L Pontieri - Journal on Data Semantics, 2021 - Springer
The ever-increasing attention of process mining (PM) research to the logs of low structured
processes and of non-process-aware systems (eg, ERP, IoT systems) poses a number of …
processes and of non-process-aware systems (eg, ERP, IoT systems) poses a number of …
Exploring business process deviance with sequential and declarative patterns
Business process deviance refers to the phenomenon whereby a subset of the executions of
a business process deviate, in a negative or positive way, with respect to {their} expected or …
a business process deviate, in a negative or positive way, with respect to {their} expected or …
Data-aware declarative process mining with SAT
Process Mining is a family of techniques for analyzing business process execution data
recorded in event logs. Process models can be obtained as output of automated process …
recorded in event logs. Process models can be obtained as output of automated process …
Compliance monitoring of multi-perspective declarative process models
Checking the compliance of a business process execution with respect to a set of
regulations is an important issue in several settings. A common way of representing the …
regulations is an important issue in several settings. A common way of representing the …
Towards online discovery of data-aware declarative process models from event streams
N Navarin, M Cambiaso, A Burattin… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
In recent years, several techniques have been made available to automatically discover
declarative process models from event logs. These techniques are useful to provide a …
declarative process models from event logs. These techniques are useful to provide a …
Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library
Process mining is one of the research disciplines belonging to the field of Business Process
Management (BPM). The central idea of process mining is to use real process execution …
Management (BPM). The central idea of process mining is to use real process execution …
Malware phylogeny analysis using data-aware declarative process mining
P Ardimento, ML Bernardi… - 2020 IEEE Conference on …, 2020 - ieeexplore.ieee.org
Mobile phones are currently the main targets of continuous malware attacks. Usually, new
malicious code is generated conveniently changing the existing one. According to this, it …
malicious code is generated conveniently changing the existing one. According to this, it …
Process discovery with context-aware process trees
Discovery plays a key role in data-driven analysis of business processes. The vast majority
of contemporary discovery algorithms aims at the identification of control-flow constructs …
of contemporary discovery algorithms aims at the identification of control-flow constructs …
Inductive context-aware process discovery
Discovery plays a key role in data-driven analysis of business processes. The vast majority
of contemporary discovery algorithms aims at the identification of control-flow constructs …
of contemporary discovery algorithms aims at the identification of control-flow constructs …