• Why am I reading this? Explaining Personalized News Recommender Systems 

  Arnórsson, Sverrir; Abeillon, Florian; Al-Hazwani, Ibrahim; Bernard, Jürgen; Hauptmann, Hanna; El-Assady, Mennatallah (The Eurographics Association, 2023)

  Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this ...

• KidCAD: An Interactive Cohort Analysis Dashboard of Patients with Chronic Kidney Diseases 

  Höhn, Markus; Schwindt, Sarah; Hahn, Sara; Patyna, Sammy; Büttner, Stefan; Kohlhammer, Jörn (The Eurographics Association, 2023)

  Chronic Kidney Diseases (CKD) are a prominent health problem. With an ongoing process, CKD leads to impaired kindey function with decreased ability to filter the patients' blood, concluding in multiple complications, like ...

• Scaling Up the Explanation of Multidimensional Projections 

  Thijssen, Julian; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2023)

  We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having ...

• A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning 

  Pammi, Ramakrishna P.; Afzal, Shehzad; Dasari, Hari Prasad; Yousaf, Muhammad; Ghani, Sohaib; Venkatraman, Murali Sankar; Hoteit, Ibrahim (The Eurographics Association, 2023)

  Renewable energy growth is one of the focus areas globally against the backdrop of the global energy crisis and climate change. Energy planners are looking into clean, safe, affordable, and reliable energy generation sources ...

• A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute 

  Bernstetter, Armin; Kwasnitschka, Tom; Peters, Isabella (The Eurographics Association, 2023)

  Reproducibility - and the lack thereof - has been an important topic for some time in the field of Human-Computer Interaction. Visual analytics workflows and in extension immersive analytics workflows are no exception there ...

• Multi-Ensemble Visual Analytics via Fuzzy Sets 

  Piccolotto, Nikolaus; Bögl, Markus; Miksch, Silvia (The Eurographics Association, 2023)

  Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...

• A Methodology for Task-Driven Guidance Design 

  Pérez-Messina, Ignacio; Ceneda, Davide; Miksch, Silvia (The Eurographics Association, 2023)

  Mixed-initiative Visual Analytics (VA) systems are becoming increasingly important; however, the design of such systems still needs to be formulated. We present a methodology to aid and structure the design of guidance for ...

• Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood 

  Pereira-Santos, Davi; Neves, Tácito Trindade Araújo Tiburtino; Carvalho, André C. P. L. F. de; Paulovich, Fernando V. (The Eurographics Association, 2023)

  High-dimensional data are known to be challenging to explore visually. Dimensionality Reduction (DR) techniques are good options for making high-dimensional data sets more interpretable and computationally tractable. An ...

• Extracting Movement-based Topics for Analysis of Space Use 

  Andrienko, Gennady; Andrienko, Natalia; Hecker, Dirk (The Eurographics Association, 2023)

  We present a novel approach to analyze spatio-temporal movement patterns using topic modeling. Our approach represents trajectories as sequences of place visits and moves, applies topic modeling separately to each collection ...

• ChatKG: Visualizing Temporal Patterns as Knowledge Graph 

  Christino, Leonardo; Paulovich, Fernando V. (The Eurographics Association, 2023)

  Line-chart visualizations of temporal data enable users to identify interesting patterns for the user to inquire about. Using oracles, such as chat AIs, Visual Analytic tools can automatically uncover explicit knowledge ...

• Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study 

  Schmidt, Johanna; Piringer, Harald; Mühlbacher, Thomas; Bernard, Jürgen (The Eurographics Association, 2023)

  Feature ideation is a crucial early step in the feature extraction process, where new features are extracted from raw data. For phenomena existing in time series data, this often includes the ideation of statistical ...

• ShaRP: Shape-Regularized Multidimensional Projections 

  Machado, Alister; Telea, Alexandru; Behrisch, Michael (The Eurographics Association, 2023)

  Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a ...

• EuroVa 2023: Frontmatter 

  Angelini, Marco; El-Assady, Mennatallah (The Eurographics Association, 2023)

• CODAS: Integrating Business Analytics and Report Authoring 

  Zhang, Zhuohao; Malik, Sana; Guo, Shunan; Hoffswell, Jane; Rossi, Ryan; Du, Fan; Koh, Eunyee (The Eurographics Association, 2022)

  Business analysts create rich dashboards to find data insights and subsequently communicate these findings with data-driven reports that combine visualization screenshots and descriptive text. Conventional analytics reports ...

• Towards Understanding Edit Histories of Multivariate Graphs 

  Berger, Philip; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2022)

  The visual analysis of multivariate graphs increasingly involves not only exploring the data, but also editing them. Existing editing approaches for multivariate graphs support visual analytics workflows by facilitating a ...

• Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters 

  Koh, Elliot; Blumenschein, Michael; Shao, Lin; Schreck, Tobias (The Eurographics Association, 2022)

  Visualizing high-dimensional (HD) data is a key challenge for data scientists. The importance of this challenge is to properly map data properties, e.g., patterns, outliers, and correlations, from a HD data space onto a ...

• Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion 

  Yu, Yuncong; Becker, Tim; Behrisch, Michael (The Eurographics Association, 2022)

  We present SAXRegEx, a method for pattern search in multivariate time series in the presence of various distortions, such as duration variation, warping, and time delay between signals. For example, in the automotive ...

• A Pipeline for Tailored Sampling for Progressive Visual Analytics 

  Hogräfer, Marius; Burkhardt, Jakob; Schulz, Hans-Jörg (The Eurographics Association, 2022)

  Progressive Visual Analytics enables analysts to interactively work with partial results from long-running computations early on instead of forcing them to wait. For very large datasets, the first step is to divide that ...

• CryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysis 

  Conforti, Pietro Manganelli; Emanuele, Matteo; Nardelli, Pietro; Santucci, Giuseppe; Angelini, Marco (The Eurographics Association, 2022)

  Cryptocurrencies are a novel phenomenon in the finance world that is gaining more attention from the general public, banks, investors, and lately also academic research. A characteristic of cryptocurrencies is to be the ...

• Understanding Business Analysts' Needs for Data Report Authoring 

  Zhang, Zhuohao; Malik, Sana; Guo, Shunan; Hoffswell, Jane; Rossi, Ryan; Du, Fan; Koh, Eunyee (The Eurographics Association, 2022)

  Business analysts often create static, data-driven reports to summarize and communicate findings from marketing dashboards. However, the requirements and workflow for creating data-driven reports in business analytics have ...

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