Journal ArticleDOI
A Structured Review of Data Management Technology for Interactive Visualization and Analysis
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A systematic review of 30 years of work in data management, and a categorization of data management work that strikes a balance between specificity and generality is created.Abstract:
In the last two decades, interactive visualization and analysis have become a central tool in data-driven decision making. Concurrently to the contributions in data visualization, research in data management has produced technology that directly benefits interactive analysis. Here, we contribute a systematic review of 30 years of work in this adjacent field, and highlight techniques and principles we believe to be underappreciated in visualization work. We structure our review along two axes. First, we use task taxonomies from the visualization literature to structure the space of interactions in usual systems. Second, we created a categorization of data management work that strikes a balance between specificity and generality. Concretely, we contribute a characterization of 131 research papers along these two axes. We find that five notions in data management venues fit interactive visualization systems well: materialized views, approximate query processing, user modeling and query prediction, muiti-query optimization, lineage techniques, and indexing techniques. In addition, we find a preponderance of work in materialized views and approximate query processing, most targeting a limited subset of the interaction tasks in the taxonomy we used. This suggests natural avenues of future research both in visualization and data management. Our categorization both changes how we visualization researchers design and build our systems, and highlights where future work is necessary.read more
Citations
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EdiFlow: data-intensive interactive workflows for visual analytics
TL;DR: Visual analytics aims at combining interactive data visualization with data analysis tasks, and is called to play an important role in scientific data management.
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Threshold Queries in Theory and in the Wild.
Angela Bonifati,Stefania Dumbrava,George H. L. Fletcher,Jan Hidders,Matthias Hofer,Wim Martens,Filip Murlak,Joshua Shinavier,Sławek Staworko,Dominik Tomaszuk +9 more
TL;DR: A deep theoretical analysis of threshold query evaluation is presented and it is shown that thresholds can be used to significantly improve the asymptotic bounds of state-of-the-art query evaluation algorithms and empirically show that threshold queries are significant in practice.
Journal ArticleDOI
Towards Natural Language Interfaces for Data Visualization: A Survey
TL;DR: A comprehensive review of the existing V-NLI systems can be found in this article , where the following seven stages are used: query interpretation, data transformation, visual mapping, view transformation, human interaction, dialogue management, and presentation.
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Towards Natural Language Interfaces for Data Visualization: A Survey.
Leixian Shen,Enya Shen,Yuyu Luo,Xiaocong Yang,Xuming Hu,Xiongshuai Zhang,Zhiwei Tai,Jianmin Wang +7 more
TL;DR: A comprehensive review of visualization-oriented natural language interfaces (V-NLI) can be found in this paper, where the following seven stages are used: query understanding, data transformation, visual mapping, view transformation, human interaction and presentation.
Journal ArticleDOI
Threshold queries in theory and in the wild
TL;DR: In this paper , the authors present a deep theoretical analysis of threshold query evaluation and show that thresholds can be used to significantly improve the asymptotic bounds of state-of-the-art query evaluation algorithms.
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