Temporal Bucketing We retain data in a sliding window of the last 24 hours and divided it evenly into 6 buckets In order to capture temporal variations we compute several feature values for each bucket, including the minimum, maximum, and averageTemporal Bucketing We retain data in a sliding window of the last 24 hours and divided it evenly into 6 buckets In order to capture temporal variations, we compute several feature values for each bucket, including the minimum, maximum, and average Bucket 1 Bucket 2 Bucket 3 Bucket 4 Bucket 5 Bucket 6