time-series
Predictive Process Monitoring
3260 papers • 126 benchmarks • 313 datasets
A branch of predictive analysis that attempts to predict some future state of a business process.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in predictive-process-monitoring
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find predictive-process-monitoring models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
Predictive Business Process Monitoring with LSTM Neural Networks
Niek Tax, I. Verenich, M. Rosa, M. Dumas•Tue Dec 06 2016
This paper investigates Long Short-Term Memory neural networks as an approach to build consistently accurate models for a wide range of predictive process monitoring tasks and shows that LSTMs outperform existing techniques to predict the next event of a running case and its timestamp.
504