Patrick Delfmann
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View article: Case Study: Insights on Prostate Cancer Treatment Pathways Using Process Discovery
Case Study: Insights on Prostate Cancer Treatment Pathways Using Process Discovery Open
In this case study , records about prostate cancer patients, provided by the Cancer Registry of Rhineland-Palatinate, Germany, are analyzed. The dataset is comparatively large and cases are rather complete, as they contain events gathered …
View article: Data Preprocessing for Cross-System Analysis: The DaProXSA Approach
Data Preprocessing for Cross-System Analysis: The DaProXSA Approach Open
The domain of Social Collaboration Analytics (SCA) is gathering momentum due to the increasing importance of Enterprise Collaboration Systems (ECS) that are used to build performant digital workplaces. ECS collect and store large amounts o…
View article: Event Abstraction for Enterprise Collaboration Systems to Support Social Process Mining
Event Abstraction for Enterprise Collaboration Systems to Support Social Process Mining Open
One aim of Process Mining (PM) is the discovery of process models from event logs of information systems. PM has been successfully applied to process-oriented enterprise systems but is less suited for communication- and document-oriented E…
View article: Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? Open
Regardless of the domain, forecasting the future behaviour of a running process instance is a question of interest for decision makers, especially when multiple instances interact. Fostered by the recent advances in machine learning resear…
View article: Introduction to the Minitrack on Business Rule Management Technologies
Introduction to the Minitrack on Business Rule Management Technologies Open
Business rules are currently evolving into a central artifact for enabling Business Process Management and Compliance Management.While standards for rule modeling such as Decision Model and Notation (DMN) are more and more maturing, the ac…
View article: Measuring Inconsistency over Sequences of Business Rule Cases
Measuring Inconsistency over Sequences of Business Rule Cases Open
We investigate inconsistency and culpability measures for multisets of business rule bases. As companies might encounter thousands of rule bases daily, studying not only individual rule bases separately, but rather also their interrelation…
View article: Effects of Visualization Techniques on Understanding Inconsistencies in Automated Decision-Making
Effects of Visualization Techniques on Understanding Inconsistencies in Automated Decision-Making Open
The automation of business processes and decision-making have received major interest from practice and academia. As automation allows to execute more processes (cases), monitoring automated decision-making is currently evolving into a big…
View article: Towards Intelligent Chatbots for Customer Care - Practice-Based Requirements for a Research Agenda
Towards Intelligent Chatbots for Customer Care - Practice-Based Requirements for a Research Agenda Open
Chatbots bare a great potential to save efforts and costs in customer care through service automation. Current results are however still at an early stage in functionality and not widely attainable. Here, developing a new form of intellige…
View article: A Taxonomy of Business Rule Organizing Approachesin Regard to Business Process Compliance
A Taxonomy of Business Rule Organizing Approachesin Regard to Business Process Compliance Open
Business Process Compliance (BPC) bridges the disciplines of Business Process Management and Compliance Management, and is aimed to ensure that business processes are aligned with laws and regulations. In this context, business rules are u…
View article: Effects of Quantitative Measures on Understanding Inconsistencies in Business Rules
Effects of Quantitative Measures on Understanding Inconsistencies in Business Rules Open
Business Rules have matured to an important aspect in the development of organizations, encoding company knowledge as declarative constraints, aimed to ensure compliant business. The management of business rules is widely acknowledged as a…
View article: Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement.
Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement. Open
Contrary to traditional process models, declarative process models define a set of declarative constraints to specify the behavior which a process should adhere to. In the scope of process mining, declarative process discovery aims to deri…
View article: Detecting Compliance with Business Rules in Ontology-Based Process Modeling
Detecting Compliance with Business Rules in Ontology-Based Process Modeling Open
Extending business processes with semantic annotations has gained recent attention. This comprises relating process elements to ontology elements in order to create a shared conceptual and terminological understanding. In business process …
View article: Comprehensible Predictive Models for Business Processes1
Comprehensible Predictive Models for Business Processes1 Open
Predictive modeling approaches in business process management provide a way to streamline operational business processes. For instance, they can warn decision makers about undesirable events that are likely to happen in the future, giving …