Title
A Prototype Application to Generate Synthetic Datasets for Information Visualization Evaluations
Abstract
The evaluation is an essential step of works that propose new information visualization techniques or tools. A common type is the controlled experiment in which the researchers measure the user performance to execute specific tasks using the proposed method. Furthermore, the dataset used for these tests must contain known desired features to be evaluated (e.g., level of noise, the percentage of missing values) in a controlled way. Thus, this article proposes an application to generate synthetic databases for evaluating information visualization techniques and tools. The system aims to create a dataset generator model that allows the construction of datasets with a diversity of profiles in a controlled manner. The creator of the model can save it for future experiments or updates and can export it enabling other groups to replicate the experiments easily. For a better understanding of application features and how to use it, this work also shows two use scenarios explaining the created model for each situation.
Year
DOI
Venue
2018
10.1109/iV.2018.00036
2018 22nd International Conference Information Visualisation (IV)
Keywords
Field
DocType
Synthetic-Dataset-Generator,Information-Visualization-Evaluation,Controlled-Experiments
Data mining,Information visualization,Computer science,Information visualization techniques,Controlled experiment,Missing data,Replicate
Conference
ISSN
ISBN
Citations 
1550-6037
978-1-5386-7203-7
1
PageRank 
References 
Authors
0.36
0
6