Published 2023-07-30
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Abstract
In the era of big data, data visualization analysis has become essential for transforming complex datasets into understandable visual formats, aiding in the discovery of patterns and trends. However, traditional methods struggle with the increasing scale and variety of data. This study explores the integration of artificial intelligence (AI) into data visualization analysis to enhance accuracy and efficiency. By employing machine learning, data mining, and pattern recognition, AI can uncover hidden relationships within data. The research focuses on optimizing algorithms and improving performance through data compression techniques. Future directions include advancing real-time capabilities and scalability, thereby fostering AI innovation in data visualization.