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We present the data lifecycle model as three algorithms, but the key point is the pipeline: collect, preprocess, analyze, and report.
Algorithm 1 covers continuous data collection while handling missing or faulty readings.
Algorithm 2 focuses on cleaning, standardization, and aggregation so the datasets are ready for further processing.
Algorithm 3 performs exploratory analysis, trend detection, anomaly detection, and then produces a risk score or report.
The output is a structured compliance or inspection report.
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IEEE/ICACT20260305 Slide.13
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