Alexander Seeliger

According to our database, Alexander Seeliger authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Inferring Missing Event Log Data from IoT Sensor Data - A Case Study in Manufacturing.

Alexander Seeliger, Markus Schreiber, Florian Giger, Joachim Metternich, Max Mühlhäuser

Proceedings of the Business Process Management Forum, 2024

2023

Discovering Process-Based Drivers for Case-Level Outcome Explanation.

Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu

Proceedings of the Process Mining Workshops, 2023

2022

BINet: Multi-perspective business process anomaly classification.

Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Inf. Syst., 2022

Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors.

Yannik Gerlach, Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2022

2021

Learning of Process Representations Using Recurrent Neural Networks.

Alexander Seeliger, Stefan Luettgen, Timo Nolle, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2021

A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model Properties.

Christopher Klinkmüller, Alexander Seeliger, Richard Müller, Luise Pufahl, Ingo Weber

Proceedings of the Business Process Management - 19th International Conference, 2021

2020

Intelligent Computer-assisted Process Mining

Alexander Seeliger

PhD thesis, 2020

Case2vec: Advances in Representation Learning for Business Processes.

Stefan Luettgen, Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Process Mining Workshops, 2020

DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks.

Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2020

2019

UPA'19: 4th international workshop on ubiquitous personal assistance.

Alejandro Sánchez Guinea, Alexander Seeliger, Veljko Pejovic, Usman Naeem, Philipp M. Scholl, Cristina Mihale-Wilson, Elena Di Lascio, Muhammad Awais Azam, Pei-Yi (Patricia) Kuo, Max Mühlhäuser, Christian Meurisch

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

ProcessExplorer: Intelligent Process Mining Guidance.

Alexander Seeliger, Alejandro Sánchez Guinea, Timo Nolle, Max Mühlhäuser

Proceedings of the Business Process Management - 17th International Conference, 2019

2018

Analyzing business process anomalies using autoencoders.

Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Mach. Learn., 2018

Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.

Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Business Process Management - 16th International Conference, 2018

BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.

Timo Nolle, Alexander Seeliger, Max Mühlhäuser

Proceedings of the Business Process Management - 16th International Conference, 2018

2017

Detecting Concept Drift in Processes using Graph Metrics on Process Graphs.

Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the 9th Conference on Subject-oriented Business Process Management, 2017

Can We Find Better Process Models? Process Model Improvement Using Motif-Based Graph Adaptation.

Alexander Seeliger, Michael Stein, Max Mühlhäuser

Proceedings of the Business Process Management Workshops, 2017

2016

What Belongs Together Comes Together: Activity-centric Document Clustering for Information Work.

Alexander Seeliger, Benedikt Schmidt, Immanuel Schweizer, Max Mühlhäuser

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Process Compliance Checking using Taint Flow Analysis.

Alexander Seeliger, Timo Nolle, Benedikt Schmidt, Max Mühlhäuser

Proceedings of the International Conference on Information Systems, 2016

Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.

Timo Nolle, Alexander Seeliger, Max Mühlhäuser

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

Upgrading Wireless Home Routers for Enabling Large-Scale Deployment of Cloudlets.

Christian Meurisch, Alexander Seeliger, Benedikt Schmidt, Immanuel Schweizer, Fabian Kaup, Max Mühlhäuser

Proceedings of the Mobile Computing, Applications, and Services, 2015