Ayasdi: What to Do When There Is No Ground Truth

When we analyze data with a particular goal in mind, we often think of situations where the data is labelled with the outcome we are interested in, i.e. that there is some ground truth in the data.

For example, if one is studying a data set in which the desired outcome is to identify fraud, then one would very much like to have the data points (which include a lot of information about persons or entities) to also include information about whether or not the particular person or entity

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