Multidimensional Data Exploration by Explicitly Controlled Animation
Journal Title: Informatics - Year 2017, Vol 4, Issue 3
Abstract
Understanding large multidimensional datasets is one of the most challenging problems in visual data exploration. One key challenge that increases the size of the exploration space is the number of views that one can generate from a single dataset, based on the use of multiple parameter values and exploration paths. Often, no such single view contains all needed insights. The question thus arises of how we can efficiently combine insights from multiple views of a dataset. We propose a set of techniques that considerably reduce the exploration effort for such situations, based on the explicit depiction of the view space, using a small multiple metaphor. We leverage this view space by offering interactive techniques that enable users to explicitly create, visualize, and follow their exploration path. This way, partial insights obtained from each view can be efficiently and effectively combined. We demonstrate our approach by applications using real-world datasets from air traffic control, software maintenance, and machine learning.
Authors and Affiliations
Johannes F. Kruiger, Almoctar Hassoumi, Hans-Jörg Schulz, AlexandruC Telea and Christophe Hurter
A Proposed Business Intelligent Framework for Recommender Systems
In this Internet age, recommender systems (RS) have become popular, offering new opportunities and challenges to the business world. With a continuous increase in global competition, e-businesses, information portals,...
RadViz++: Improvements on Radial-Based Visualizations
RadViz is one of the few methods in Visual Analytics able to project high-dimensional data and explain formed structures in terms of data variables. However, RadViz methods have several limitations in terms of scalabilit...
Bringing the Illusion of Reality Inside Museums—A Methodological Proposal for an Advanced Museology Using Holographic Showcases
The basic idea of a hologram is an apparition of something that does not exist but appears as if it was just in front of our eyes. These illusion techniques were invented a long time ago. The philosopher and alchemist Gi...
Modeling Analytical Streams for Social Business Intelligence
Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the soc...
The STELAR ICU: Leveraging Electronic Health Record Data to Foster Research and Optimize Patient Care
Electronic health records (EHR) combined with robust data collection systems can be used to simultaneously drive research and performance improvement initiatives. Our Smart, Transformative, EHR-based Approaches to Revo...