This page collects publications from the DataStory project on intentional analytics and data storytelling. The work includes intentional analytical operators, optimization of analytical workloads, automated extraction of significant highlights, and the generation of interactive data stories.
Vassilis Stamatopoulos, Panos Gidarakos, Stavros Maroulis, George Papastefanatos, Panos Vassiliadis. Interpretable Highlights for Experiment Tracking. 28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP), co-located with EDBT/ICDT 2026, Tampere, Finland - March 24, 2026. [CEUR proceeedings]
Focus: An experiment analytics approach for large volumes of experimental runs.
Related material: local page for Interpretable Highlights for Experimental Configurations with paper and supplementary material.
Marios Iakovidis, Panos Vassiliadis. Multi-Query Optimization for the Novel Analyze Operator. 28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP), co-located with EDBT/ICDT 2026, Tampere, Finland - March 24, 2026. [CEUR proceeedings]
Focus: An novel operator for a 360 degrees view of intentional queries with multiple query optimization strategies.
Related material: local page for Analyze Operatorsr with paper, presentation and supplementary material.