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∙ 06/25/2023

TCE: A Test-Based Approach to Measuring Calibration Error

This paper proposes a new metric to measure the calibration error of pro...

0 Takuo Matsubara, et al. ∙

∙ 06/09/2023

Explaining Predictive Uncertainty with Information Theoretic Shapley Values

Researchers in explainable artificial intelligence have developed numero...

0 David S. Watson, et al. ∙

∙ 07/05/2021

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda

Fraud detection and prevention play an important part in ensuring the su...

1 Niek Tax, et al. ∙

∙ 09/03/2019

Mining Insights from Weakly-Structured Event Data

This thesis focuses on process mining on event data where such a normati...

1 Niek Tax, et al. ∙

∙ 08/30/2019

Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version)

Process mining sheds new light on the relationship between process model...

5 Anja F. Syring, et al. ∙

∙ 05/23/2019

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

Predictive process monitoring is a family of techniques to analyze event...

1 Stephan A. Fahrenkrog-Petersen, et al. ∙

∙ 10/31/2018

An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction

Data of sequential nature arise in many application domains in forms of,...

7 Niek Tax, et al. ∙

∙ 08/13/2018

Automatic Playlist Continuation through a Composition of Collaborative Filters

The RecSys Challenge 2018 focused on automatic playlist continuation, i....

0 Irene Teinemaa, et al. ∙

∙ 03/23/2018

Foundations of Prescriptive Process Monitoring

Predictive process monitoring is concerned with the analysis of events p...

0 Irene Teinemaa, et al. ∙

∙ 12/12/2017

Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases

Sequential pattern mining techniques extract patterns corresponding to f...

0 Niek Tax, et al. ∙

∙ 11/03/2017

Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities

Process Discovery is concerned with the automatic generation of a proces...

1 Niek Tax, et al. ∙

∙ 05/25/2017

Generating Time-Based Label Refinements to Discover More Precise Process Models

Process mining is a research field focused on the analysis of event data...

0 Niek Tax, et al. ∙

∙ 05/25/2017

Mining Process Model Descriptions of Daily Life through Event Abstraction

Process mining techniques focus on extracting insight in processes from ...

0 Niek Tax, et al. ∙

∙ 05/03/2017

The Imprecisions of Precision Measures in Process Mining

In process mining, precision measures are used to quantify how much a pr...

1 Niek Tax, et al. ∙

∙ 04/11/2017

Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models

Process mining analyzes business processes based on events stored in eve...

0 Felix Mannhardt, et al. ∙

∙ 12/07/2016

Predictive Business Process Monitoring with LSTM Neural Networks

Predictive business process monitoring methods exploit logs of completed...

1 Niek Tax, et al. ∙

∙ 10/10/2016

Heuristic Approaches for Generating Local Process Models through Log Projections

Local Process Model (LPM) discovery is focused on the mining of a set of...

0 Niek Tax, et al. ∙

∙ 09/12/2016

On Generation of Time-based Label Refinements

Process mining is a research field focused on the analysis of event data...

0 Niek Tax, et al. ∙

∙ 06/23/2016

Log-based Evaluation of Label Splits for Process Models

Process mining techniques aim to extract insights in processes from even...

0 Niek Tax, et al. ∙

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