Privacy Preserving Data Mining Operations without Disrupting Data Quality
2012
Data mining operations have become prevalent as they can
extract trends or patterns that help in taking good business
decisions. Often they operate on large historical databases
or data warehouses to obtain actionable knowledge or
business intelligence that helps in taking well informed
decisions. In the data mining domain there came many
tools to perform data mining operations. These tools are
best used to obtain actionable knowledge from data.
Manually doing this is not possible as the data is very huge
and takes lot of time. Thus the data mining domain is
being improved in a rapid pace. While data mining
operations are very useful in obtaining business
intelligence, they also have some drawbacks that are they
get sensitive information from the database. People may
misuse the freedom given by obtaining sensitive
information illegally. Preserving privacy of data is also
important. Towards this end many Privacy Preserving
Data Mining (PPDM) algorithms came into existence that
sanitize data to prevent data mining algorithms from
extracting sensitive information from the databases.
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