Many data generation processes can be modeled as data streams. While this data may be archived and indexed within a data warehouse, it is also important to process the data "as it happens," to provide up to the minute analysis and statistics on current trends.
Home → Magazine Archive → October 2009 (Vol. 52, No. 10) → Finding the Frequent Items in Streams of Data → Abstract
Finding the Frequent Items in Streams of Data
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