Nowadays, due to the accelerated growth of data in industries, extensive data processing is a pivotal point of IT. ARM in an expanded database is a challenging task. Different data analysis methods introduced today to facilitate organizations formulate improved assessment. Information technology has contributed to data backup, recovery, and use. Data mining is one of the different ways in which companies use it for daily analysis. Developing data in the insurance sector has recently been accelerated in developing countries. Using Data mining tools, they take data and make reality to assist in supervisory. The resultant model illustrates data models and dealings. These databases contain sensitive data or knowledge, which should not reveal to others. In this connection, Privacy protection is essential for the transformation of personal data. For example, medical information, insurance policies, etc. In this chapter, we introduced several vanishing association rules and explained how different privacy practices and algorithms could apply to different levels of extraction. Protect data privacy with minimal data loss and accuracy. Analysis of all PPDM policy outcomes was also analyzed.
Volume 11 | 01-Special Issue
Pages: 1919-1926