Several classes of time deconstructions can assist in the exploration and automated analysis of large temporal data sets. Cyclic time granularities, which are temporal deconstructions accounting for repetitive behavior, like hour-of-day, day-of-week, or special holidays can be used to create a visualization of the data to explore for periodicities, associations, and anomalies. Analysts are expected to comprehensively explore the many ways to view and analyze such graphics, however, the lack of a systematic approach to do so quickly becomes overwhelming.
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