Crisp Dm

CRISP-DM (Cross-Industry Standard Process for Data Mining) is a widely used methodology for data mining projects, guiding the process from business understanding to deployment. Current research focuses on integrating CRISP-DM with other techniques, such as ontology design and process mining, to improve data preparation and analysis, particularly in complex domains like cyber-physical systems and agent-based simulations. This integration aims to enhance efficiency and reliability in extracting insights from data, leading to more robust and insightful models across various applications, including anomaly detection and predictive modeling. The resulting improvements in data-driven decision-making have significant implications for diverse fields.