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Sam Leewis

Lecturer and Researcher

HU University of Applied Sciences

Netherlands

Research Interests

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About

Sam Leewis is a Lecturer and Researcher at HU University of Applied Sciences Utrecht in the Netherlands. His research focuses on improving operational decision-making through decision mining, utilizing method engineering for the development of decision mining methods. Additionally, he explores frameworks that support decision discovery from data, contributing to the advancement of operational decision processes.

Articles (7)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Collaborators (1)

Johan Versendaal

Professor

Open Universiteit

NETHERLANDS

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Sam Leewis

Research Interests

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Articles (7)

Improving operational decision-making through decision mining - utilizing method engineering for the creation of a decision mining method

An Ethics-included Ontological Model for the Design and Evaluation of Digital Twins Technology for Spatial Planning

Enhancing Digital Accessibility through Language-Level Classification and Adaptation: Exploring the Role of Large Language Models for Inclusive Language

Precision, Fitness, Generalization, and Simplicity as Quality Dimensions for Decision Discovery Algorithms

Towards the Automatic Extraction of Decision Model & Notation from Dutch Legal Text

Using Digital Twin Technology for Developing a Healthy and Sustainable Living Environment: A Dutch Case Study

Discovering operational decisions from data—a framework supporting decision discovery from data

Collaborators (1)

Johan Versendaal

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