de Leeuw Wim, Verschure Pernette J, van Liere Robert
Swammerdam Institute for Life Sciences.
IEEE Trans Vis Comput Graph. 2006 Sep-Oct;12(5):1251-8. doi: 10.1109/TVCG.2006.195.
In this paper we propose an approach in which interactive visualization and analysis are combined with batch tools for the processing of large data collections. Large and heterogeneous data collections are difficult to analyze and pose specific problems to interactive visualization. Application of the traditional interactive processing and visualization approaches as well as batch processing encounter considerable drawbacks for such large and heterogeneous data collections due to the amount and type of data. Computing resources are not sufficient for interactive exploration of the data and automated analysis has the disadvantage that the user has only limited control and feedback on the analysis process. In our approach, an analysis procedure with features and attributes of interest for the analysis is defined interactively. This procedure is used for off-line processing of large collections of data sets. The results of the batch process along with "visual summaries" are used for further analysis. Visualization is not only used for the presentation of the result, but also as a tool to monitor the validity and quality of the operations performed during the batch process. Operations such as feature extraction and attribute calculation of the collected data sets are validated by visual inspection. This approach is illustrated by an extensive case study, in which a collection of confocal microscopy data sets is analyzed.
在本文中，我们提出了一种将交互式可视化与分析和批处理工具相结合的方法，用于处理大型数据集。大型且异构的数据集难以分析，给交互式可视化带来了特定问题。由于数据的数量和类型，传统的交互式处理与可视化方法以及批处理方法在处理此类大型且异构的数据集时都存在相当大的缺点。计算资源不足以对数据进行交互式探索，而自动化分析的缺点是用户对分析过程的控制和反馈有限。在我们的方法中，通过交互定义一个具有分析所需特征和属性的分析过程。此过程用于对大量数据集进行离线处理。批处理的结果以及“可视化摘要”用于进一步分析。可视化不仅用于呈现结果，还用作监测批处理过程中执行操作的有效性和质量的工具。通过目视检查验证诸如对所收集数据集进行特征提取和属性计算等操作。通过一个广泛的案例研究说明了这种方法，其中对共聚焦显微镜数据集进行了分析。
