In the last decades, pervasive computing is generating a growing quantity of data. Data
mining (DM) technology has become increasingly popular. However, the excessive …

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 …

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 …

In recent days, enormous data are generated from departmental stores, hospitals, social
media, banks, etc. These datasets are associated with different association rules for …

Data mining is the process of discovering patterns and correlations within the huge volume
of data to forecast the outcomes. There are serious challenges occurring in data mining …

Abstract Objectives: Recently Privacy preserving data mining (PPDM) is known to be the
most important aspect among researchers. As Privacy preserving data mining permits …

Huge amount of data generated from the hospitals, social media sites and online
departmental stores contains sensitive data. Nowadays finding association rules among …

Association Rule Hiding is the Data Mining method which is used for extracting hidden
information from huge dataset. In our paper, Two approaches are introduced. In first …

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 …

Mining association rules is considered to be a core topic of data mining. Discovering these
associations is beneficial and is highly needed to the correct and appropriate decision made …