Editorial: TRENDS IN AGGREGATION AND SECURITY ASSESSMENT FOR INFERENCE CONTROL IN STATISTICAL DATABASES
Vicenç Torra, Josep Domingo‐Ferrer · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 2002
As e-commerce and Internet-based data handling become pervasive, companies and statistical agencies have the need to exploit the data they accumulate without violating citizens' privacy. Inference control is a discipline whose goal is to prevent published/exchanged data from being linked with the individual respondents they originated from. This special issue illustrates that inference control largely draws on soft computing and artificial intelligence techniques.