kanonym
kanonym is a concept within certain fields of statistics and data analysis that refers to the process of anonymizing data while still attempting to preserve its utility. The core challenge is to remove or alter personally identifiable information (PII) to protect individual privacy, but to do so in a way that the remaining data can still be used for meaningful analysis, such as statistical modeling or machine learning.
There are various techniques employed under the umbrella of kanonym. These can include data aggregation, generalization,
The effectiveness of kanonym is often measured by a trade-off between privacy protection and data utility.