Privacy preserving in data mining classification and visualization: Empirical study

In present Era, knowledge acquisition and extracting potential information in any field is very complex and voluminous. Information rich Data mining is data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlation in large pre-existing database. The frequent pattern supports designing building block and to find out associations rules and prompt relationship between databases. Most important challenges in the framework of the uncertain database are how to handle the security and assigned probability value for each product. It reduces the complexity of stepping up process. To fulfil the gap between existing approach and progressing application requirement, a detailed pragmatic study was conducted. This study evaluates the overall work which is related to the privacy of data classification and visualization and frequent item pattern.