Zoom Preditivo: Interaction Prediction on Data Visualization in Industry 4.0 Using the Innovation Principle

• Luis A. Z. Pozenato UNISINOS
• Rodrigo da R. Righi UNISINOS https://orcid.org/0000-0001-5080-7660
• Cesar D. P. Crovato UNISINOS
• Cristiano A. da Costa UNISINOS https://orcid.org/0000-0003-3859-6199
• Vinícius F. Rodrigues UNISINOS

DOI: https://doi.org/10.5753/sbcup.2021.16013

Abstract

The fourth industrial revolution, called Industry 4.0, has a profound impact on both producers and consumers through massive data generation. Current data analysis methods act reactively to users’ interaction, and, consequently, they are unable to provide rapid availability of information. The present work proposes a predictive model to reduce the processing and response time to visualize this large volume of data. Using the concepts of divide and conquer and innovation, together with entropy measures, the proposed model proactively identifies intervals to be explored in temporal data.

Keywords: Industry 4.0, Data Visualization, Prediction

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