Removing Operational Friction using Process Mining: Challenges Provided by the Internet of Production (IoP)
Efficient Scheduling of Scientifc Workflow Actions in the Cloud based on Required Capabilities
iTLM-Q: A Constraint-based Q-learning Approach for Intelligent Traffc Light Management
Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use
A Data Science Approach to Explain a Complex Team Ball Game
Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators
Catalog Integration of Heterogeneous and Volatile Product Data
Designing an Efficient Gradient Descent based Heuristic for Clusterwise Linear Regression for Large Datasets
A Policy-agnostic Programming Language for the International Data Spaces
Coreset-based Data Compression for Logistic Regression
Product Classification using Partially Abbreviated Product Names, Brands and Dimensions
An Environmental Study of French Neighbourhoods
Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.