DIVE

DIVE is a computational method used to identify significant changes or insights within data, often in the context of analyzing large datasets or signals. It stands for “Detection, Isolation, Verification, and Explanation,” guiding analysts through recognizing meaningful patterns or alterations. Essentially, DIVE systematically detects anomalies or shifts, confirms their validity, and then helps interpret what these changes mean. This approach enhances decision-making by providing a structured way to uncover underlying causes, improve diagnostics, or optimize processes across various fields like healthcare, finance, or engineering.