ABSTRACT
The main goal of Privacy Preserving Data Mining (PPDM) is to hide sensitive information and extract useful rules from database. The current privacy preserving data mining techniques are classified based on anonymization, transformation, cryptology, clustering, and association rule as shown in figure 1. Since the anonymization is the
1 INTRODUCTION
In this information age of the 21st century, data mining is one of the most active research subjects in database development and application. The potential value of published data is a focused issue across all industries. For instance, the manager of a supermarket hopes that two related goods are in the same shelves; medical researchers comprehend the common characteristic of a disease for seeking a approach to cure. Therefore, data mining technique play a important role in every field. Afterwards, the data mining emerged by using computer technology and combine the knowledge of database and artificial intelligence, which can extract available information from a mass of high-dimensional mixed data.
