Privacy has become crucial in knowledge based applications. Proper integration of
individual privacy is essential for data mining operations. This privacy based data mining is …

Data sharing between two organizations is common in many application areas like business
planning or marketing. When data are to be shared between parties, there could be some …

In many organizations large amount of data are collected. These data are sometimes used
by the organizations for data mining tasks. However, the data collected may contain private …

Many private organizations are reluctant to share the health related information to the
researchers fearing loss of privacy of data. The non availability of data has potential …

Data Mining is very popular in today's era because it provides access to the information that
is hidden from a normal human being eye. The hidden information that is made available …

Organizations now deal with massive amounts of data. Data is collected from various points
such as hospitals, credit card companies, and search engines. After collecting this …

With medical device cyber-physical systems being more and more widely used, a lot of
healthcare data are produced, making data sharing for health research a vital requirement …

Data Mining can be seen as the process of extracting hidden patterns from large databases.
In many situations, the extracted patterns can reveal private information that should not be …

Abstract [enter Abstract Body] Finding hidden patterns in huge data sets is a technique
known as data mining or knowledge discovery. There are several data mining algorithms …

Many organizations publish anonymous medical data for sociology research, health
research, education and other useful studies. Although attributes that clearly identify …