Search Results for author: Jochen De Weerdt

Found 6 papers, 2 papers with code

Expert-driven Trace Clustering with Instance-level Constraints

no code implementations13 Oct 2021 Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt

Within the field of process mining, several different trace clustering approaches exist for partitioning traces or process instances into similar groups.

Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring

no code implementations5 Jul 2021 Hans Weytjens, Jochen De Weerdt

Often the training and test sets are not completely separated, a data leakage problem particular to predictive process monitoring.

Predictive Process Monitoring

Process Outcome Prediction: CNN vs. LSTM (with Attention)

no code implementations14 Apr 2021 Hans Weytjens, Jochen De Weerdt

Attention is another technique that, in combination with LSTMs, has found application in time series classification and was included in our research.

Classification General Classification +2

Predictive Process Model Monitoring using Recurrent Neural Networks

no code implementations5 Nov 2020 Johannes De Smedt, Jochen De Weerdt, Junichiro Mori, Masanao Ochi

The field of predictive process monitoring focuses on modelling future characteristics of running business process instances, typically by either predicting the outcome of particular objectives (e. g. completion (time), cost), or next-in-sequence prediction (e. g. what is the next activity to execute).

Predictive Process Monitoring Temporal Logic

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