Protecting the privacy of healthcare information is an important part of encouraging data
custodians to give accurate records so that mining may proceed with confidence. The …

The trends of data mining in the healthcare is increased due to the digitization of healthcare
with electronic health record (EHR) systems. This generates a huge amount of data on daily …

Problem statement: The objective of the hybrid algorithm for privacy preserving data mining
is to hide certain sensitive information so that they cannot be discovered through association …

The data mining sanitization process involves converting the data by masking the sensitive
data and then releasing it to public domain. During the sanitization process, side effects …

Now a day, privacy-preserved data mining is an important research topic that finds
significant information from the database while hiding sensitive information. Numbers of …

Privacy-preserving data mining, is a novel research direction in data mining and statistical
databases, where data mining algorithms are analyzed for the side effects they incur in data …

Chapter Overview This chapter explores issues in managing privacy and security of
healthcare information used to mine data by reviewing their fundamentals, components and …

In recent years, wide available personal data has made privacy preserving data mining
issue an important one. An overview of new and rapidly emerging research field of privacy …

The growing popularity and development of data mining technologies bring serious threat to
the security of individual,'s sensitive information. An emerging research topic in data mining …

The COVID-19 pandemic has led to an increase in digitization. With the strict social and
physical distancing measures in place, new routines require accessing the internet for most …