Efficient Decision Tree Based Privacy Preserving Approach for Unrealized Data Sets
Privacy Preserving Data Mining (PPDM) is major issue in the areas of data mining and security. PPDM data mining algorithms are analysis the results of impact data privacy. Objective of PPDM is to preserve confidential information by applying data mining tasks without modifying the original data. Because privacy preservation is important for data mining and machine learning applications, it measures to measures designed to protect private information. Numerous data mining techniques are analysis the result of preserved data. But still it becomes loss of information and reduces the utility of training samples.