A sanitization approach for big data with improved data utility

The process of collaborative data mining may sometimes expose the sensitive patterns present inside the data which may be undesirable to the data owner. Sensitive Pattern Hiding (SPH) is a subfield of data mining that addresses this problem. However, most of the existing approaches used for hiding sensitive patterns cause high side-effect on non-sensitive patterns which in-turn reduces the utility of the sanitized dataset. Furthermore, most of...