Interactive visual analytics tool for multidimensional quantitative and categorical data analysis

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2020-05-25 DOI:10.1177/1473871620908034
Muhammad Laiq Ur Rahman Shahid, V. Molchanov, J. Mir, Furqan Shaukat, L. Linsen
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引用次数: 3

Abstract

With the advances in science and technology, a rapid growth of multidimensional (multivariate) datasets is observed in different fields. Projection and visualization of such data to a lower dimensional space without losing the data structure is a challenging task. We propose an interactive visual analytics tool that is applied for the combined analysis of multidimensional numerical and categorical data. The tool helps the analyst not only to find the clusters of similar objects but also to identify the important features specific to these clusters. The efficacy of the various functionalities of the tool is examined analyzing epidemiological data to understand the pathogenesis of obstructive sleep apnea. Our approach helps the user to visually analyze the data and get a better understanding of the data. The tool would be a valuable resource for analysts working on numerical and categorical data.
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交互式可视化分析工具,用于多维定量和分类数据分析
随着科学技术的进步,多维(多元)数据集在不同领域迅速增长。在不丢失数据结构的情况下将这样的数据投影和可视化到较低维空间是一项具有挑战性的任务。我们提出了一种交互式视觉分析工具,用于多维数值和分类数据的组合分析。该工具不仅可以帮助分析人员找到相似对象的集群,还可以识别这些集群特有的重要特征。通过分析流行病学数据来了解阻塞性睡眠呼吸暂停的发病机制,对该工具的各种功能的有效性进行了检查。我们的方法有助于用户直观地分析数据并更好地理解数据。该工具将是研究数字和分类数据的分析师的宝贵资源。
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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