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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika)
Ade Rudi Masa’id
Universitas Budi Luhur
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Utilizing Machine Learning in Big Data Visualization: A Systematic Review Ade Kurniawan; Aldi Rosyid; Ade Rudi Masa’id; Wendi Usino
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 17, No 1 (2026): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v17i1.3818

Abstract

This systematic review examines the existing literature on data visualization approaches for big data, aiming to identify key challenges, emerging trends, and promising solutions. The review highlights the growing importance of data visualization in extracting meaningful insights from large and complex datasets. It underscores the unique challenges posed by the scale and multidimensionality of big data, emphasizing the need for innovative visualization techniques. The paper explores various data visualization methods currently employed in big data analysis, discussing their strengths, limitations, and potential areas for future development. The review concludes by emphasizing the importance of continued research in this field to improve the accessibility and effectiveness of big data visualization for a wide range of applications.  
Co-Authors Ade Kurniawan Aldi Rosyid Wendi Usino