Abstract The growth of Big Data, especially personal data dispersed in multiple data
sources, presents enormous opportunities and insights for businesses to explore and …

Record linkage is the challenging task of deciding which records, coming from disparate
data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Accessing and integrating human genomic data with phenotypes are important for
biomedical research. Making genomic data accessible for research purposes, however …

We present a Λ-fold Redundant Blocking Framework, that relies on the Locality-Sensitive
Hashing technique for identifying candidate record pairs, which have undergone an …

Frequent sequential pattern mining is a central task in many fields such as biology and
finance. However, release of these patterns is raising increasing concerns on individual …

In privacy-preserving record linkage, a number of data custodians encode their records and
submit them to a trusted third-party who is responsible for identifying those records that refer …

The task of calculating similarities between strings held by different organisations without
revealing these strings is an increasingly important problem in areas such as health …

In this paper, we propose an efficient scheme for privacy-preserving record linkage by using
the Hamming locality-sensitive hashing technique as the blocking mechanism and the …

The rapid development of mobile technology has improved users' quality of treatment, and
tremendous amounts of medical information are readily available and widely used in data …