Data analysis applications and methodology
Abstract
The chapter focuses on the application of data mining methodologies and artificial intelligence (AI) in object detection. It introduces two popular data mining methodologies: CRISP-DM and SEMMA. CRISP-DM stands for Cross-Industry Standard Process for Data Mining, while SEMMA stands for Sample, Explore, Modify, Model, and Assess. Both methodologies provide a structured approach to data mining projects, with CRISP-DM being more widely used in industry. The chapter then explores the application of AI in object detection. Object detection is a critical task in computer vision, with numerous applications in fields such as surveillance, autonomous vehicles, and robotics. The chapter discusses ...
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