Abstract
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.
Highlights
With the development of modern day technologies, user knowledge is increasing day by day
Capturing the important information is toward the success for smooth functionality of user knowledge
Data exist in different forms such as structured and unstructured. e big data are the data whose scale, diversity, and complexity need new algorithms, structures, techniques, and analytics for the managements and visualizations and to pull out hidden information [1]
Summary
With the development of modern day technologies, user knowledge is increasing day by day. E contribution of the proposed research is to know about the user knowledge, data modelling, and visualization by handling with applications of the fuzzy logic-based approach. E experimental setup of the proposed research is validated through the data user modelling dataset available in the UCI web repository [7]. (i) To know about the user knowledge, data modelling, and visualization (ii) To use the fuzzy logic-based approach for handling user knowledge, data modelling, and visualization (iii) To visualize the dataset in order to get meaningful insights (iv) To validate the work by using the “data user modelling dataset”. E organization of the paper is as follows: Section 2 represents the related work regarding user knowledge, data modelling, and visualization with different literature studies.
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