Process Models in Visual Data Analysis

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Authors: Emily Wall
Cited by: 0
References: 7

Abstract

This chapter provides a brief review of background literature on process models that are relevant in visual data analysis, including ML, visualization, and human decision-making. These process models suggest frameworks for enumerating and thinking about where and how bias may be introduced in these processes.

Fields of Study & Subjects

Data Visualization and Analytics Explainable Artificial Intelligence (XAI) Scientific Computing and Data Management

Publication details

Journal / source
Synthesis lectures on visualization
Pages
7–14
Publication date
1 January 2026
Language
EN
Document type
Book chapter