research
∙
07/02/2023
Graph Neural Network based Log Anomaly Detection and Explanation
Event logs are widely used to record the status of high-tech systems, ma...
share
research
∙
02/28/2023
WEARDA: recording wearable sensor data for human activity monitoring
We present WEARDA, the open source WEARable sensor Data Acquisition soft...
research
∙
02/22/2023
Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests
Traditional anomaly detection methods aim to identify objects that devia...
research
∙
10/13/2022
A Survey on Explainable Anomaly Detection
In the past two decades, most research on anomaly detection has focused ...
research
∙
08/19/2022
Feature Selection for Fault Detection and Prediction based on Event Log Analysis
Event logs are widely used for anomaly detection and prediction in compl...
research
∙
06/17/2022
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
Rule set learning has long been studied and has recently been frequently...
research
∙
03/25/2021
Robust subgroup discovery
We introduce the problem of robust subgroup discovery, i.e., finding a s...
research
∙
03/04/2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling
In the context of optimization approaches to engineering applications, t...
research
∙
01/13/2021
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
Estimating conditional mutual information (CMI) is an essential yet chal...
research
∙
06/16/2020
Discovering outstanding subgroup lists for numeric targets using MDL
The task of subgroup discovery (SD) is to find interpretable description...
research
∙
06/02/2020
Unsupervised Discretization by Two-dimensional MDL-based Histogram
Unsupervised discretization is a crucial step in many knowledge discover...
research
∙
11/21/2019
Vouw: Geometric Pattern Mining using the MDL Principle
We introduce geometric pattern mining, the problem of finding recurring ...
research
∙
05/01/2019
Interpretable multiclass classification by MDL-based rule lists
Interpretable classifiers have recently witnessed an increase in attenti...
research
∙
02/07/2017
Learning what matters - Sampling interesting patterns
In the field of exploratory data mining, local structure in data can be ...
research
∙
11/01/2016
Local Subspace-Based Outlier Detection using Global Neighbourhoods
Outlier detection in high-dimensional data is a challenging yet importan...
research
∙
10/28/2016
Flexible constrained sampling with guarantees for pattern mining
Pattern sampling has been proposed as a potential solution to the infamo...
research
∙
10/17/2016