Problem statement: Frequent itemset mining is an important task in data mining to discover
the hidden, interesting associations between items in the database based on the user …

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 …

Data mining techniques are useful to discover hidden patterns from the large databases.
Association rule mining is one of the important data mining techniques to discover …

In privacy preserving data mining, utility mining plays an important role. In privacy preserving
utility mining, some sensitive itemsets are concealed from the database according to certain …

With the proliferation of organizations that independently collect various types of data, with
the growing awareness of corporations and public to keep their sensitive data private, and …

Problem statement: Association rule mining with fuzzy logic was explored by research for
effective datamining and classification. Approach: It was used to find all the rules existing in …

Today's era is an era of data. Hence, the most attentive field of research and study is to
collect and select the data rapidly as per the need nowadays. Data mining is the field which …

Surveys indicate that privacy persists as an issue of public and individual concern. It is a
highly relevant issue in systems engineering today, and the need for privacy studies will be …

The technology improves the ability of data storage and their processing. Therefore a
significant growth on different business domains is observed. The business intelligence …