Health technology assessment (HTA) is the systematic evaluation of the properties and
impacts of health technologies and interventions. In this article, we presented a discussion of …

Entity resolution (ER) is a process to identify records in information systems, which refer to
the same real-world entity. Because in the two recent decades the data volume has grown …

Abstract Introduction In Brazil, the National Health System (SUS) provides healthcare to the
public. The system has multiple administrative databases; the major databases record …

Entity resolution (ER) is the problem of finding which digital representations of entities
correspond to the same real-world entity. In many Big Data scenarios, in addition to the …

Data deduplication is the task of identifying all groups of objects within one or several data
sets, respectively. However, this task will become difficult in the context of big data. To …

In this paper, we propose a fast approach that parallelizes the deduplication process on
multicore processors. Our approach, named MD-Approach, combines an efficient blocking …

At present, there is a vast amount of duplicated data or redundant data in storage systems.
Data de-duplication can eliminate multiple copies of the same file and duplicated segments …

Hadoop is widely used for applications like Aadhaar card, Healthcare, Media, Ad Platform,
Fraud Detection & Crime, and Education etc. However, it does not provide efficient and …

Today, the world is increasingly awash in more and more unstructured data, not only
because of the Internet, but also because data that used to be collected on paper or media …

In this thesis we start from the experiences and solutions for duplicate identification in Big
Data collections and address the broader and more complex problem of'Entity Deduplication …