Many recommender systems use association rules mining, a technique that captures
relations between user interests and recommends new probable ones accordingly. Applying …

Association rule mining is a powerful model of data mining used for finding hidden patterns
in large databases. The challenges of data mining is to secure the confidentiality of sensitive …

Organizations generally prefer data or knowledge sharing with others to obtain mutual
benefits. The major issue in sharing the data or knowledge is data owners privacy …

In many organizations huge amount of data is generated. Organizations use this data for
their own benefit. Data mining extracts useful knowledge from huge data. Association rule …

Privacy Preserving Association Rule Mining (PPAM) becomes an important issue in recent
years. Since data mining alone is not enough to share data between companies without …

Decentralized online social networks enhance users' privacy by empowering them to control
their data. However, these networks mostly lack for practical solutions for building …

The increasing rate of data sharing among organizations could maximize the risk of leaking
sensitive knowledge. Trying to solve this problem leads to increase the importance of …

Privacy preservation data mining is novel research area where data mining algorithms are
analyzed for their side-effects they done on data privacy. Privacy preservation data mining …

More than half of the world's population benefits from Online Social Networks'(OSN s)
services. A considerable part of these services is mainly based on applying analytics on …

Privacy Preservation in Data Mining (PPDM) including for Privacy Preserving Association
Rule Mining (PPARM) has attracted lots of attention in recent research and practice …