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Influence diagrams (IDs) are a popular framework representing a decision maker's belief and preferences about a sequence of decisions to be made under uncertainty. The quantification of IDs which consists of defining conditional probabilities for chance nodes and utility functions for value nodes is not always obvious. In fact, decision makers cannot always provide exact utilities and in some cases,...
Outlier detection in large data sets is an effective way to find new knowledge and new classes. It has many applications in all those domains that can lead to illegal or abnormal behavior, such as fraud detection and medical diagnosis. Present algorithms mainly focus on finding outliers in data set on the basis of all attributes of data. The concept of outlier in subspace that assumes outlier is only...
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.