Temporal Rules Discovery for Web Data Cleaning
Summary: Temporal rules discovery for web data cleaning embeds fact durations in rule mining to address sparsity, delays, and noisy extractions. Uses ML-based associations, outlier detection, and aggressive repair during mining; on real data, precision goes 0.37→0.84 and F-measure up ~40%. (summarized by gpt-5-nano on Feb 09 2026)
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