Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
Junk dimensions are often misunderstood and avoided. And they should not be. Junk dimensions offer a strategy to remain true to dimensional intentions and to better focus one’s design and sometimes ...
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