FOCUSED PRIVACY PRESERVING OF DATA USING DECISION TREE INDUCTION CLASSIFIER
Keywords:
: Decision Tree Induction (DTI), Decision Tree (DT), Cumulative Sum (CUSUM).Abstract
Data mining is a recent advance technology with great potential to help companies focus on the crucial
information in the data they have collected about the behavior of their customers. In this paper we are trying to use Data
mining as a strong tool for security purposes. This paper covers collection of information within the data that queries
and reports can't effectively reveal. Privacy-preserving data publishing addresses the problem of disclosing sensitive
data when mining for useful information. In already existing privacy models, differential privacy provides one of the
strongest privacy guarantees. In this paper, we have resolved issues like Experimental determination and optimization of
the way of sharing information without leaking personal data. Continuous monitoring was being done and with the help
of DTI (Decision tree induction classifier) we have classified the upcoming events and made data sharing more reliable.
More over the location based identification is also included to ensure the overall security in the future also by resolving
this chronic problem
