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Izvorni znanstveni članak
https://doi.org/10.32985/ijeces.11.1.5

Data Visualization Classification Using Simple Convolutional Neural Network Model

Filip Bajić ; University Computing Centre (SRCE)
Josip Job ; J. J. Strossmayer University of Osijek,Faculty of Electrical Engineering, Computer Science and Information Technology
Krešimir Nenadić ; J. J. Strossmayer University of Osijek,Faculty of Electrical Engineering, Computer Science and Information Technology

Puni tekst: engleski, pdf (845 KB) str. 43-51 preuzimanja: 178* citiraj
APA 6th Edition
Bajić, F., Job, J. i Nenadić, K. (2020). Data Visualization Classification Using Simple Convolutional Neural Network Model. International journal of electrical and computer engineering systems, 11 (1), 43-51. https://doi.org/10.32985/ijeces.11.1.5
MLA 8th Edition
Bajić, Filip, et al. "Data Visualization Classification Using Simple Convolutional Neural Network Model." International journal of electrical and computer engineering systems, vol. 11, br. 1, 2020, str. 43-51. https://doi.org/10.32985/ijeces.11.1.5. Citirano 25.09.2021.
Chicago 17th Edition
Bajić, Filip, Josip Job i Krešimir Nenadić. "Data Visualization Classification Using Simple Convolutional Neural Network Model." International journal of electrical and computer engineering systems 11, br. 1 (2020): 43-51. https://doi.org/10.32985/ijeces.11.1.5
Harvard
Bajić, F., Job, J., i Nenadić, K. (2020). 'Data Visualization Classification Using Simple Convolutional Neural Network Model', International journal of electrical and computer engineering systems, 11(1), str. 43-51. https://doi.org/10.32985/ijeces.11.1.5
Vancouver
Bajić F, Job J, Nenadić K. Data Visualization Classification Using Simple Convolutional Neural Network Model. International journal of electrical and computer engineering systems [Internet]. 2020 [pristupljeno 25.09.2021.];11(1):43-51. https://doi.org/10.32985/ijeces.11.1.5
IEEE
F. Bajić, J. Job i K. Nenadić, "Data Visualization Classification Using Simple Convolutional Neural Network Model", International journal of electrical and computer engineering systems, vol.11, br. 1, str. 43-51, 2020. [Online]. https://doi.org/10.32985/ijeces.11.1.5

Sažetak
Data visualization is developed from the need to display a vast quantity of information more transparently. Data visualization often incorporates important information that is not listed anywhere in the document and enables the reader to discover significant data and save it in longer-term memory. On the other hand, Internet search engines have difficulty processing data visualization and connecting visualization and the request submitted by the user. With the use of data visualization, all blind individuals and individuals with impaired vision are left out. This article utilizes machine learning to classify data visualizations into 10 classes. Tested model is trained four times on the dataset which is preprocessed through four stages. Achieved accuracy of 89 % is comparable to other methods’ results. It is showed that image processing can impact results, i.e. increasing or decreasing level of details in image impacts on average classification accuracy significantly.

Ključne riječi
data visualization, chart image classification, convolutional neural networks, computational modeling, chart recognition

Hrčak ID: 242933

URI
https://hrcak.srce.hr/242933

Posjeta: 312 *