irhete/lstm-business-process-trace-generation

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Python
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Apache License 2.0
Created about 7 years ago
Updated about 7 years ago

irhete/lstm-business-process-trace-generation

irhete

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This repository contains scripts for training an LSTM for predicting the next event in a trace and generating new traces with this model.

predictive-monitoring-benchmark

Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datasets.

stability-predictive-monitoring

This repository contains scripts for predictive monitoring methods (random forest, XGBoost, and LSTM based) and assessing the prediction accuracy and temporal prediction stability.

PredictiveMonitoringWithText

Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.

recsys-challenge-2018

Code for the final solution submitted to the RecSys Challenge 2018.

predictive-monitoring-thesis

This repository contains scripts used in Irene Teinemaa's PhD thesis titled "Predictive and Prescriptive Monitoring of Business Process Outcomes"

clustering-based-predictive-monitoring

Clustering-based predictive process monitoring

Jupyter Notebook

business-process-embeddings

Representation learning for different business process concepts (e.g. activity, resource, event). The aim is to learn an embedding function that maps a value (of a given concept) to an m-dimensional real-valued vector.

graphScope

resource-experience-predictive-monitoring

This repository contains scripts for modeling resource experience as inter-case features for outcome-oriented predictive business process monitoring.

liferay-assignment-companies