9 citations · 17 across the 4 of their papers we have counts for
6 papers
Compact Phase Histograms for Guided Exploration of Periodicity
Max Franke, Steffen Koch
Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic be…
Real-Time Visual Analysis of High-Volume Social Media Posts
Johannes Knittel, Steffen Koch, Tan Tang +4
Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them. The real-time analysis of posts on such platforms can reveal…
Efficient Sparse Spherical k-Means for Document Clustering
Johannes Knittel, Steffen Koch, Thomas Ertl
Spherical k-Means is frequently used to cluster document collections because it performs reasonably well in many settings and is computationally efficient. However, the time comple…
ELSKE: Efficient Large-Scale Keyphrase Extraction
Johannes Knittel, Steffen Koch, Thomas Ertl
Keyphrase extraction methods can provide insights into large collections of documents such as social media posts. Existing methods, however, are less suited for the real-time analy…
Visual Neural Decomposition to Explain Multivariate Data Sets
Johannes Knittel, Andres Lalama, Steffen Koch +1
Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. More specifically, it is often valuable to understand…
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
Tan Tang, Renzhong Li, Xinke Wu +7
Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizatio…