One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

There is no doubt that big data are now rapidly expanding in all science and engineering
domains. While the potential of these massive data is undoubtedly significant, fully making …

This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …

Record linkage is the process of matching records from several databases that refer to the
same entities. When applied on a single database, this process is known as deduplication …

Entity matching is a crucial and difficult task for data integration. Entity matching frameworks
provide several methods and their combination to effectively solve different match tasks. In …

Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of
the research examines ways for improving its effectiveness and time efficiency. The initial …

Social media sites (eg, Flickr, YouTube, and Facebook) are a popular distribution outlet for
users looking to share their experiences and interests on the Web. These sites host …

Many data mining tasks require computing similarity between pairs of objects. Pairwise
similarity computations are particularly important in record linkage systems, as well as in …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

We consider the problem of learning a record matching package (classifier) in an active
learning setting. In active learning, the learning algorithm picks the set of examples to be …