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User Knowledge, Data Modelling, and Visualization: Handling through the Fuzzy Logic-Based Approach

机译:用户知识,数据建模和可视化:通过模糊逻辑的方法处理

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In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data structure and process of data. The proposed study aim is to know about the user knowledge, data modelling, and visualization by handling through the fuzzy logic-based approach. The experimental setup is validated through the data user modelling dataset available in the UCI web repository. The results show that the model is effective and efficient in situations where uncertainty and complexity arise.
机译:在现代技术中,知识水平日益增加。 这种增加在体积,速度和品种方面。 对这些知识的理解是一个个人的需求,以从中提取有意义的洞察力。 随着计算机和基于图像的技术的进步,可视化成为提取,解释和传达信息的最重要的平台之一。 在数据建模中,可视化是提取知识的过程,以揭示详细数据结构和数据处理。 所提出的研究目的是通过处理基于模糊的基于逻辑的方法来了解用户知识,数据建模和可视化。 通过UCI Web存储库中可用的数据用户建模数据集验证了实验设置。 结果表明,该模型在不确定性和复杂性出现的情况下是有效和有效的。

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