Granular computing in privacy-preserving data mining

Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities, called ldquoinformation granulesrdquo, which appear in the process of data abstraction and derivation of knowledge from information. The granular computing paradigm has been applied to many applications and we will address the application of granular computing in privacy-preserving data mining. We will use privacy-preserving association rule mining and privacy-preserving k-nearest neighbor classification to illustrate how the paradigm of granular computing has been applied.