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Three-Way Data Analytics: Preparing and Analyzing Data in Threes
Information Sciences ( IF 8.1 ) Pub Date : 2021-05-28 , DOI: 10.1016/j.ins.2021.05.058
Mengjun Hu

Three-way decision and its underlying philosophy of thinking in threes have been investigated in a variety of topics. By observing that many three-way topics are related to data analytics, this work presents three-way data analytics, examine a number of its existing topics, and propose a few potential new topics. Based on the two stages of data analytics (i.e., data preparation and data analysis) and the Data-Information-Knowledge-Wisdom (DIKW) hierarchy, we organize the existing three-way topics into three bunches, namely, three-way data preparation concerning data, three-way data analysis concerning information, and three-way data analysis concerning knowledge and wisdom. This systematic organization may shed light on a new view of understanding current results. Moreover, it may promote the studies on the relationships between topics from different levels and inspire their synthesis to obtain three-way approaches to the complete picture of data analytics. Furthermore, we may discover topics that are commonly studied in conventional data analytics but not with three-way approaches. Since three-way approaches are theoretically and practically proved to be efficient and effective in many existing topics, many new topics may be worth investigating. This work presents a few potential new topics, including three-way data selection, three-way word analysis, and three-way data visualization.



中文翻译:

三向数据分析:三向准备和分析数据

三向决策及其潜在的三向思维哲学已经在各种主题中进行了研究。通过观察许多与数据分析相关的三向主题,这项工作提出了三向数据分析,检查了一些现有的主题,并提出了一些潜在的新主题。基于数据分析的两个阶段(即数据准备和数据分析)和数据-信息-知识-智慧(DIKW)层次结构,我们将现有的三向主题组织成三束,即三向数据准备关于数据,关于信息的三向数据分析以及关于知识和智慧的三向数据分析。这种系统的组织可能会阐明理解当前结果的新观点。而且,它可以促进不同层次主题之间关系的研究,激发它们的综合,以获得数据分析全貌的三向方法。此外,我们可能会发现传统数据分析中经常研究的主题,而不是三向方法。由于三向方法在许多现有主题中被理论和实践证明是有效和有效的,因此许多新主题可能值得研究。这项工作提出了一些潜在的新主题,包括三向数据选择、三向词分析和三向数据可视化。我们可能会发现在传统数据分析中经常研究的主题,但不是用三向方法研究的。由于三向方法在许多现有主题中被理论和实践证明是有效和有效的,因此许多新主题可能值得研究。这项工作提出了一些潜在的新主题,包括三向数据选择、三向词分析和三向数据可视化。我们可能会发现在传统数据分析中经常研究的主题,但不是用三向方法研究的。由于在很多现有主题上从理论上和实践上都证明了三元方法是有效的,因此许多新主题可能值得研究。这项工作提出了一些潜在的新主题,包括三向数据选择、三向词分析和三向数据可视化。

更新日期:2021-05-28
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