Emmanuel Müller

Semi-Automated Exploration of Data Warehouses

2015

Exploratory data analysis tries to discover novel dependencies and unexpected patterns in large databases. Traditionally, this process is manual and hypothesis-driven. However, analysts can come short of patience and imagination. In this paper, we introduce …

SGR: Self-Supervised Spectral Graph Representation Learning

2018 · arXiv (Cornell University)

Representing a graph as a vector is a challenging task; ideally, the representation should be easily computable and conducive to efficient comparisons among graphs, tailored to the particular data and analytical task at hand. Unfortunately, …

Two-Sample Testing for Event Impacts in Time Series

2020 · Society for Industrial and Applied Mathematics eBooks

In many application domains, time series are monitored to detect extreme events like technical faults, natural disasters, or disease outbreaks. Unfortunately, it is often non-trivial to select both a time series that is informative about …