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Recently, enterprises and governments invested aggressively in big data analytics because it is truly representative of popular opinion based on millions of people. Despite bringing new opportunities, big data encounters the challenges such as extremely large number of observations (e.g., Millions of transactions), high dimensionality (e.g., Thousands of items), and immediate response. Taking big...
Outlier (also known as anomaly) detection technology is widely applied to many areas, such as diagnosing diseases, evaluating credit, and investigating cybercrime. Recently, several studies, based on frequent itemset mining (FIM), have been proposed to detect outliers in categorical data. For efficiency, these FIM-based studies pruned (ignored) the majority of data by either imposing a threshold or...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.