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首页> 外文期刊>Theoretical Issues in Ergonomics Science >Visualization support to better comprehend and improve decision tree classification modelling process: a survey and appraisal
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Visualization support to better comprehend and improve decision tree classification modelling process: a survey and appraisal

机译：可视化支持，以更好地理解和改进决策树分类建模过程：调查和评估

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摘要

Data mining (DM) can be defined as the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data. Modelling is the crucial step where DM algorithms are applied in order to extract data patterns. In order for domain experts, who play significant roles in DM process, to make the most efficient and effective use of DM tools, these tools must incorporate appropriate visualization to facilitate the process of modelling. Yet, unfortunately, study of how visualization should be designed, particularly what components should be included and how to present them, has been rather limited. This paper surveys the current state of art in application of visualization techniques to better comprehend and improve the decision trees modelling process in three modes: visualization of tree models, visualization of model evaluation and visual interactive tree construction. A number of issues that have been overlooked and areas that need to be improved are identified through reviewing a collection of related research and examining six current DM softwares in terms of their design of a few important features in each mode of the visualization support to decision trees classification modelling. Although this article focuses on decision trees classification modelling, guidelines derived from this study can be beneficial to other modelling techniques as well. At the end of the paper, a desirable design of visualization support to DM modelling is proposed with a conceptual model.
机译：数据挖掘（DM）可以定义为识别数据中有效，新颖，潜在有用和最终易于理解的模式的重要过程。建模是应用DM算法提取数据模式的关键步骤。为了使在DM过程中扮演重要角色的领域专家能够最有效地使用DM工具，这些工具必须包含适当的可视化以促进建模过程。然而，不幸的是，关于如何设计可视化，特别是应该包括哪些组件以及如何呈现它们的研究非常有限。本文概述了可视化技术应用的最新技术，以三种方式更好地理解和改进决策树建模过程：树状模型的可视化，模型评估的可视化和可视化交互式树结构。通过审查相关研究的集合并检查六种当前的DM软件在每种模式下对决策树的可视化支持中的几个重要功能的设计，确定了许多已被忽略的问题和需要改进的地方。分类建模。尽管本文着重于决策树分类建模，但从本研究中得出的指导原则也可能对其他建模技术有益。在本文的最后，通过概念模型提出了对DM建模的可视化支持的理想设计。

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