Interactive Information Visualization Models: A Systematic Literature Review-Reference-Cited by-同舟云学术

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Interactive Information Visualization Models: A Systematic Literature Review

Published:2023 Issue: Volume: Page:661-676
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2023
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Author:

Ortega-Bustamante MacArthur,Hasperué Waldo,Peluffo-Ordóñez Diego H.,Imbaquingo Daisy,Raki Hind,Aalaila Yahya,Elhamdi Mouad,Guachi-Guachi Lorena

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36805-9_43

Reference60 articles.

1. Umaquinga-Criollo, A.C., Peluffo-Ordóñez, D.H., Rosero-Montalvo, P.D., Godoy-Trujillo, P.E., Benítez-Pereira, H.: Interactive visualization interfaces for big data analysis using combination of dimensionality reduction methods: a brief review. In: Basantes-Andrade, A., Naranjo-Toro, M., Zambrano Vizuete, M., Botto-Tobar, M. (eds.) Technology, Sustainability and Educational Innovation (TSIE). TSIE 2019. Advances in Intelligent Systems and Computing, vol 1110. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37221-7-17

2. Lecture Notes in Computer Science;MC Ortega-Bustamante,2020

3. Peluffo-Ordóñez, D.H., et al.: Geometrical homotopy for data visualization. In: ESANN (2015). http://hdl.handle.net/2078.1/168996

4. Lee, J.A., et al.: Multi-scale similarities in stochastic neighbour embedding: reducing dimensionality while preserving both local and global structure. Neurocomputing 169, 246–261 (2015). https://doi.org/10.1016/j.neucom.2014.12.095

5. Steed, C.A.: Interactive data visualization. In: Data Analytics for Intelligent Transportation Systems, pp. 165–190. Elsevier Inc. (2017). https://doi.org/10.1016/B978-0-12-809715-1.00007-9

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1. Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction;SN Computer Science;2023-12-08

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