172 citations · 398 across the 19 of their papers we have counts for
22 papers
How do users design scientific workflows? The Case of Snakemake
Sebastian Pohl, Nourhan Elfaramawy, Kedi Cao +2
Scientific workflows automate the analysis of large-scale scientific data, fostering the reuse of data processing operators as well as the reproducibility and traceability of analy…
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization
Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich +1
Anonymization of event logs facilitates process mining while protecting sensitive information of process stakeholders. Existing techniques, however, focus on the privatization of t…
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen +4
Advances in deep neural network (DNN) architectures have enabled new prediction techniques for stock market data. Unlike other multivariate time-series data, stock markets show two…
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen +4
The propagation of rumours on social media poses an important threat to societies, so that various techniques for rumour detection have been proposed recently. Yet, existing work f…
Detecting Rumours with Latency Guarantees using Massive Streaming Data
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin +4
Today's social networks continuously generate massive streams of data, which provide a valuable starting point for the detection of rumours as soon as they start to propagate. Howe…
GECCO: Constraint-driven Abstraction of Low-level Event Logs
Adrian Rebmann, Matthias Weidlich, Han van der Aa
Process mining enables the analysis of complex systems using event data recorded during the execution of processes. Specifically, models of these processes can be discovered from e…