For example, a decision with an outcome of $150,000 that costs $20,000 to attempt is dangerous if your business can't afford to lose $20,000. Eliminate outcomes with unaffordable attached risks.

Data classification means categorization of data into different category according to rules. This paper is to extract a kind of “Structure” from a sample of objects.

“15. The method of claim 14, further comprising receiving a setting for a maximum tree depth, and using the maximum tree depth to generate the anonymization rule set. “16.