Big Data technology has discarded traditional data modeling approaches as no longer
applicable to distributed data processing. It is, however, largely recognized that Big Data …

The entity reconciliation (ER) problem aroused much interest as a research topic in today's
Big Data era, full of big and open heterogeneous data sources. This problem poses when …

Big data technologies have seen tremendous growth in recent years. They are widely used
in both industry and academia. In spite of such exponential growth, these technologies lack …

Web information system (WIS) is frequently-used and indispensable in daily social life. WIS
provides information services in many scenarios, such as electronic commerce …

The data linkage techniques “entity linking” and “record linkage” get rising attention as they
enable the integration of multiple data sources for data, web, and text mining approaches …

Since the right decision is made from the correct data, assessing data quality is an important
process in computational science when working in a data-driven environment. Appropriate …

Data is useful to the extent that it can be quickly analyzed to reveal valuable information.
With high-quality data, we can increase revenue, reduce cost, and reduce risk. On the other …

Cleaning the dirty data has become very critical significance for many years, especially in
medical sectors. This is the reason behind widening research in this sector. To initiate the …

Cyberspace offers users and information communication systems the opportunity to interact
with each other for business. Data, as the carrier of information, represents the processing …

A critical task in data cleaning and integration is the identification of duplicate records
representing the same real-world entity. Similarity join is largely used in order to detect pairs …