Studium
- PADS - Lehre
- Kurse
- Pro-Seminare
- Seminare
- Praktika
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Abschlussarbeiten
- Bachelor Thesis - A recommender system for process discovery
- Bachelor Thesis - Integration of Sustainability Data into Object-centric Process Mining
- Master Thesis – Object-Centric Process Mining in Lufthansa
- Master Thesis - Protecting Event Data and Process Mining Results Using Generalization Techniques
- Master Thesis - Process Mining Case Studies on SAP
- Master Thesis - Fairness in Business Process Analysis
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Abgeschlossene Abschlussarbeiten
- 2023
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2022
- A Practical Application of Predictive Process Monitoring in Cloud Computation at <<Company Disclosed>>
- Trace Ordering Strategy for Incremental Process Discovery
- Operationalization of Predictive Process Monitoring for Aircraft MRO
- Event Label Refinement by Applying Community Detection to Event Similarity Graphs
- Interactive Extractor from SAP ERP
- Customer Journey and Win Back using Object-Centric Process Mining to Better Understand it from Multiple Viewpoints and Further Promoting Better Offers to Retain Customers
- Coarse-Grained Process Diagnostics: A Method Combining Process Mining and Time Series Analysis
- Object-Centric Process Mining on Event Data Extracted from SAP ERP Systems
- Actionable recommendations to enhance the win-back process model using machine learning and data analysis applied on customer history, demographics and behavior during process
- Applying Object-Centric Process Mining to a Real Business Process: Inventory in SAP ERP Systems
- Efficient State-Space Traversal in Alignment Computation
- A Generic Approach Towards Feature Extraction from Object-Centric Event Logs
- Object-Centric Process Mining using Celonis
- Differentially Private Trace Variant Selection for Process Mining
- Implementation of the object-centric process cube in Kubernetes
- Improving the eST-Miner Models using Non-Unique Transition Labels
- Detecting Surprising Instances in a Process
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2021
- Assignation of Roles to Individuals/Event Logs: A Graph-Based Approach
- Evaluation of key-value databases for the storage of large process mining event logs
- A Qualitative Evaluation of End-to-End Process Optimization using Commercial Process Mining Tools
- Refining Event Labels using Community Detection, Semi-Greedy Mapping Search and Case Folding
- Text-Aware Predictive Monitoring of Business Processes with LSTM Neural Networks
- Discovery of Local Process Models by Combining Places
- Automatic Discrete Event Simulation in Process Mining
- Context-aware detection of deviations in process executions
- iGED Miner: Discovering Process Trees using Graph Edit Distance
- Streaming Conformance Checking with Log Skeleton in Python
- Predict state of newly arriving process instance (case)
- A Framework for Unsupervised Event Abstraction using Hidden Markov Models
- GPU-enabled Process Mining: a general overview
- Data-Driven Analysis of Industrial Printers’ Error-Handling Processes
- Applying Process Mining on Highly Concurrent Processes with Continuous Data Footprints
- Iterative Improvement of Simulation Models Focussing on Time and Resources
- An Evaluation of Task Mining for Process Improvement - Developing and Analyzing an Approach for the Implementation of Task Mining for Enterprise-Level Service Processes in a Global Company
- Automated Process Model Extraction from Business Process Descriptions in Natural Language
- Methods to deal with Discrimination in Process Mining Data
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2020
- Augmented Change Point Detection in Process Mining by Incorporating Time, Data, and Resource Information
- Comparative Process Mining in Nursing-Care: A Case Study using Concurrency Profile Clustering
- Complete Trace Detection in Event-Stream Based Process Discovery
- Attribute-Driven Hierarchical Clustering of Event Data in Process Mining
- Efficient Conformance Checking on Process Trees using A*
- Integrating resource and workload awarenessin the PM4Py Distributed Engine
- A Visual Approach Based on Petri Net to Compare Business Processes
- Alignment Approximation using Subsets of Modeled Behavior
- Implementation of automated feature selection algorithm
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2019
- Model Repair by Incorporating Negative Instances In Process Enhancement
- History-Aware Process Monitoring
- Distinguishing Undesired and Desired Infrequent Behavior in Process Mining
- Integration of MongoDB in PM4Py for Preprocessing Event Data and Discover Process Models
- Big Data Process Mining in Python - Integration of Spark in PM4Py for Preprocessing Event Data and Discover Process Models
- Improved Alignment Repair
- Implementation of a Scalable Interactive Event Data Visualization in Python
- Complex Event Processing on MongoDB
- An Inductive Miner Implementation for the PM4Py Framework
- Improving State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures
- Localized Conformance and Performance Analysis based on Event Data: Diagnosing Individual Places
- Schwerpunktkolloquium
- HiWi Stellen
- New Process Mining Course by PADS and Celonis
- Coursera Data Science in Action
- PADS/Celonis Academic Center of Excellence
Der Lehrstuhl
- Willkommen
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Aktuelle Meldungen
- The new 2023 ranking of computer scientists by Research.com is out
- Video proceedings of the first Process Mining Summer School
- ICT Young Researcher Award 2022 for a PADS member, Mahsa Pourbafrani
- Connecting Process Mining and Sustainability
- Celonis Process Sphere provides easy access to the benefits of Object-Centric Process Mining
- Several awards for PADS members at ICPM 2022 in Bolzano
- PADS Excellence Initiative Started
- The Process Mining Handbook
- First Process Mining Summer School was a Big Success!
- RWTH und Celonis verstärken ihre Zusammenarbeit durch die Gründung des neuen Engineering and Innovation Lab auf dem RWTH Aachen Campus
- Six Levels of Autonomous Process Execution Management (APEM)
- New talk series: the Artificial Intelligence Colloquium
- New Process Mining Course Created by PADS and Celonis
- Summer School on Process Mining
- RWTH awarded 'Celonis Process Mining Centre of Excellence' status
- Celonis Appoints ‘Godfather of Process Mining’ Professor Wil van der Aalst as Chief Scientist
- New process mining website is now live!
- PADS Involved in Two New Projects Combining Process Mining, AI, and Learning Analytics: AIStudyBuddy and BridgingAI
- Julian Schnitzler wins the prize for the best Bachelor CS thesis award at RWTH
- The Changing Process Mining Landscape
- Global Process Mining Survey Identifies Success Factors and Increasing Adoption of Process Mining
- Process mining scholarships sponsored by the Deloitte Foundation
- RWTH Center for Artificial Intelligence
- Interview mit ACM Mitglied Prof. Wil van der Aalst
- OCEL Standard for Object-Centric Process Mining Released!
- Professor Wil van der Aalst wurde zum Fellow der Association for Computing Machinery (ACM) ernannt, der weltweit führenden Gesellschaft für Computertechnik
- First Audio Course on Process Mining
- PhD Positions on Machine Learning for Process Mining (ML4ProM) at RWTH Aachen University
- Prof. Dr. Wil van der Aalst benannt 2021 IEEE Fellow
- Do you want to apply cutting-edge process-mining techniques to your SAP data? Contact us!
- Tag der Informatik 2020 - Promo Video
- Wil van der Aalst in die Nordrhein-Westfälische Akademie der Wissenschaften und der Künste aufgenommen
- Professor Wil van der Aalst zum IFIP Fellow gewählt
- New Membership Structure and Website for the IEEE Task Force on Process Mining
- PADS Teaching in the Coming Semester (Summer 2020)
- A Side of Data: Podcast On Process Mining
- WITS Keynote: Process Mining In Today’s Platforms Economy - Opportunities and Challenges
- Recognition for Process Mining: Celonis Wins the "Deutscher Zukunftspreis 2019"
- PM4Py: State-of-the-art-process mining in Python
- Business Process Hygiene: No Business Case Needed
- Process Mining: Bridging Not Only Data and Processes, But Also Industry and Academia
- Centeris/ProjMAN/HCist Keynote on Process Mining and the Limitations of the Directly-Follows Graphs (DFGs)
- PADS Teaching in the Coming Semester (Winter 2019-2020)
- First Japanese Process Mining Conference
- SEFM Keynote on Object-Centric Process Mining
- Process Mining Book Translated in Japanese
- Reflections on 40 years of Petri Net Conferences
- First International Conference on Process Mining was a Huge Success
- ICPM Keynote on 20 Years of Process Mining Research
- New Gartner Market Guide for Process Mining
- 1. Internationale Konferenz über Process Mining (ICPM) im Juni 2019 in Aachen
- 39. International Conference on Applications and Theory of Petri Nets and Concurrency 24.6 bis 29.6.2018 in Bratislava
- PM4Py 1.0 Release Announcement
- Tag der Informatik 2018
- PADS startet neuen Blog
- Vorlesung "Introduction to Data Science" nun auch Wahlpflichtfach für Master Informatik, Master Software Systems Engineering, Master Media Informatics
- PADS – Neue Themen für Masterarbeiten
- Neues Kursangebot im Wintersemester 2018/2019
- Fraunhofer FIT feiert Jubiläum: 35 Jahre angewandte Forschung
- Alexander von Humboldt Preisverleihung
- Keynote on "Responsible Data Science in a Dynamic World" at the IFIP World Computer Congress in Poznan, Poland on September 18th 2018
- Keynote Summer Simulation Multi-Conference 2018
- Gartner Publishes Market Guide
- Alexander von Humboldt Professur
- Team
- Stellenangebote