Strategies for Effective Threshold Setting
In dynamic data environments, where data patterns continuously evolve, static thresholds may become obsolete quickly. Adaptive thresholding techniques are required to adjust the thresholds in real-time based on changing data patterns. This adds complexity to the analytical process but is necessary for maintaining the relevance of the thresholds. Using data-driven approaches to set thresholds can
