5 papers
Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities
Jean-Daniel Fekete, Yifan Hu, Dominik Moritz +8
The rapid advancement of AI is transforming human-centered systems, with profound implications for human-AI interaction, human-data interaction, and visual analytics. In the AI era…
EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing Detection
Georgios Kaoukis, Ioannis Aris Koufopoulos, Eleni Psaroudaki +4
As AI and web agents become pervasive in decision-making, it is critical to design intelligent systems that not only support sustainability efforts but also guard against misinform…
Adaptive Indexing for Approximate Query Processing in Exploratory Data Analysis
Stavros Maroulis, Nikos Bikakis, Vassilis Stamatopoulos +1
Minimizing data-to-analysis time while enabling real-time interaction and efficient analytical computations on large datasets are fundamental objectives of contemporary exploratory…
Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective
Nikos Bikakis, Panos K. Chrysanthis, Guoliang Li +2
This report provides insights into the challenges, emerging topics, and opportunities related to human-data interaction and visual analytics in the AI era. The BigVis 2024 organizi…
Partial Adaptive Indexing for Approximate Query Answering
Stavros Maroulis, Nikos Bikakis, Vassilis Stamatopoulos +1
In data exploration, users need to analyze large data files quickly, aiming to minimize data-to-analysis time. While recent adaptive indexing approaches address this need, they are…