An Approach of Taxonomy of Multidimensional Cubes Representing Visually Multivariable Data

Nguyen, Hang Thi; Le, Truong Xuan; Tran, Phuoc Vinh; Pham, Dang Van

doi:10.1007/978-3-030-34365-1_8

Cited by 4 publications

(23 citation statements)

References 9 publications

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“…The taxonomy of data variables results in the constitution of three kinds of multidimensional cube representing a dataset of multivariate data, non-space cube, 2D-space cube, and 3D-space cube. 18 The effectiveness of visual graph in extracting information and discovering knowledge is estimated subjectively by human vision perception and objectively by visual features. For applying the approach to integrating of retinal variables into graph in order to increase visual features, this study groups graph marks into clusters by qualitative and quantitative characteristics.…”

Section: Resultsmentioning

confidence: 99%

“…18 An object existing at a determined spatial position during undetermined interval is considered as a spatial object. 18 An object of which spatial and temporal positions are determined is considered as spatiotemporal object. 18 A spatiotemporal object of which spatial position changes over time, that is, spatial position is a function of time position, is considered as a moving object, 18 also called mover.…”

Section: Relations Between Variables In Datasetmentioning

confidence: 99%

“…The variable of object is the collection of the names of objects, the variables of attributes are the collections of values of the attributes, the variable of time is the collection of time units each of which is a time point or an time interval, the variable of 2D-space or 2D-location is the collection of the positions on ground, and the variable 3D-space or 3D-location is the collection of positions in elevated space. 18 In that, the variable of time is independent, the variables of 2D-and 3D-space may be independent or dependent, and the variables…”

Section: Relations Between Variables In Datasetmentioning

confidence: 99%

“…The • 3D-Space Multidimensional Cube. 18 3D-space multidimensional cube is constituted by joining a 3D-space cube to 2D-space multidimensional cube based on 2 axes indicating ground locations. 18 For spatiotemporal objects in elevated space, 18…”

Section: Multidimensional Cubes Representing Multivariate Datamentioning

confidence: 99%

“…At present, while technical processes and systems are researched to reduce man power or exclude human role, the visualization system for discovering knowledge in data keeps human within the system as a component of the system. 18 As a vision-based system for discovering knowledge from data, a visualization system is considered as a system for the collaboration between human and computer to convert data into knowledge. The system is composed of two components: visual technique and vision perception ( Figure 5).…”

Section: Two-component Approach To Converting Data Into Knowledgementioning

confidence: 99%

See 4 more Smart Citations

Approaching human vision perception to designing visual graph in data visualization

Tran

2020

Concurrency and Computation

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In a data visualization system, data are converted into information and/or knowledge by human vision perception of graph representing these data. This research studies the characteristics of human vision perception and the relationships between data variables of dataset to constitute cube models representing dataset as a graph on the cube. The research proposes the process designing multidimensional graph considered as structural graph on cube model to represent multivariate data. Structural graph is designed in the light of the relationships between data variables and human vision perception. After mapping structural graph onto computer screen, the graph is integrated into retinal variables to improve objectively visual features and respond subjectively human perception of vision.

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Section: Resultsmentioning

confidence: 99%

Section: Relations Between Variables In Datasetmentioning

confidence: 99%

Section: Relations Between Variables In Datasetmentioning

confidence: 99%

Section: Multidimensional Cubes Representing Multivariate Datamentioning

confidence: 99%

Section: Two-component Approach To Converting Data Into Knowledgementioning

confidence: 99%

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Approaching human vision perception to designing visual graph in data visualization

Tran

2020

Concurrency and Computation

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An approach to evaluating the efficiency of a solution for visualization problem

2021

Concurrency and Computation

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In recent years, various approaches to visualization have been adopted for decoding the significance implicit in data. Although the effectiveness of these approaches has been evaluated, scant attention has been paid to their efficiency. In this study, an interactive system was designed based on a two-component visualization system. In the proposed model, resource libraries were installed on a computer, and correlations were drawn between human libraries and user characteristics. An interactive visualization system can be used to create different visualization problems. For each problem, the input is a dataset, and the output is the information or knowledge gleaned by the user from the visual pattern representing the dataset. Each visualization problem may be solved using many methods and various visual patterns, with varying cognitive loads.The efficiency of a solution is evaluated by comparing the output worth with the cognition cost of the solution. In this article, a quantitative algorithm was proposed to evaluate the efficiency of a visualization solution to enable the user in determining the most efficient solution according to the purpose of the visualization.

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A New Approach for Visual Analytics Applying to Multivariate Data of Student Intakes in the University

Pham

Vinh

Hoang

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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An Approach of Taxonomy of Multidimensional Cubes Representing Visually Multivariable Data

Cited by 4 publications

References 9 publications

Approaching human vision perception to designing visual graph in data visualization

Approaching human vision perception to designing visual graph in data visualization

An approach to evaluating the efficiency of a solution for visualization problem

A New Approach for Visual Analytics Applying to Multivariate Data of Student Intakes in the University

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