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Provenance Analysis for Sensemaking
IEEE Computer Graphics and Applications ( IF 1.7 ) Pub Date : 2019-11-01 , DOI: 10.1109/mcg.2019.2945378
Jean-Daniel Fekete 1 , T. J. Jankun-Kelly 2 , Melanie Tory 3 , Kai Xu 4
Affiliation  

The articles in this special section examine the concept of "sensemaking", which refers to how we structure the unknown so as to be able to act in it. In the context of data analysis it involves understanding the data, generating hypotheses, selecting analysis methods, creating novel solutions, and critical thinking and learning wherever needed. Due to its explorative and creative nature, sensemaking is arguably the most challenging part of any data analysis.

中文翻译:

意义建构的来源分析

本专题中的文章探讨了“意义建构”的概念,它指的是我们如何构造未知事物以便能够在其中行动。在数据分析的背景下,它涉及理解数据、产生假设、选择分析方法、创建新的解决方案,以及在需要时进行批判性思维和学习。由于其探索性和创造性的性质,意义建构可以说是任何数据分析中最具挑战性的部分。
更新日期:2019-11-01
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