APFIVE Data Analysis for Trends and Anomalies
A weather monitoring system collects hourly temperature readings. Which combination of data processing techniques is most effective for identifying both seasonal trends and anomalous temperature spikes?
A
Alphabetical sorting AND random sampling
B
Moving averages AND threshold-based filtering
C
Binary classification AND string matching
D
Geographical clustering AND timestamp removal
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