Combining and analysing sensitive data from multiple sources offers considerable potential for knowledge discovery. However, there are a number of issues that pose problems such analyses, including technical barriers, privacy restrictions, security concerns, trust issues. Privacy-preserving distributed mining techniques (PPDDM) aim to overcome these challenges by extracting partitioned while mi...

Recent advances in information, communications, data mining, and security technologies have gave rise to a new era of research, known as privacy preserving data mining (PPDM). Several data mining algorithms, incorporating privacy preserving mechanisms, have been developed that allow one to extract relevant knowledge from large amount of data, while hide sensitive data or information from disclo...

Privacy-preserving data mining seeks to empower conventional data mining techniques with the desirable property of preserving data privacy during the mining process. Given existing approaches on privacy-preserving decision tree induction for horizontally and vertically partitioned data involving multiple parties, we extend current work to multiple parties holding arbitrarily partitioned data. A...

In this paper, we reflect on the use of visualization techniques for analyzing electronic health record data with privacy concerns. Privacy-preserving data visualization is a relatively new area of research compared to the more established research areas of privacy-preserving data publishing and data mining. We describe the opportunities and challenges for privacy-preserving visualization of el...

Data mining provides large benefits to the commercial, government and homeland security sectors, but the aggregation and storage of huge amounts of data about citizens inevitably leads to an erosion of privacy. To achieve the benefits that data mining has to offer, while at the same time enhancing privacy, we need technological solutions that simultaneously enable data mining while preserving p...

Huge volume of detailed personal data is regularly collected and sharing of these data is proved to be beneficial for data mining application. Such data include shopping habits, criminal records,medical history, credit records etc .On one hand such data is an important asset to business organization and governments for decision making by analyzing it .On the other hand privacy regulations and o...