Big data systems are sufficiently stable to store and process a massive volume of rapidly
changing data. However, big data systems are composed of large-scale hardware resources …

Abstract The Internet of Things (IoT) is a network of connected objects designed to collect
and exchange data using smart equipment and technologies. A significant challenge in …

Big data word is used for datasets whose size and types are beyond traditional data
processing systems. Big data analytics is the advanced technique used to process big data …

Objectives Accurate record linkage (RL) enables consolidation and de-duplication of data
from disparate datasets, resulting in more comprehensive and complete patient data …

Smart phone and its applications are used more and more extensively in our daily life. Short
delay of arriving data is important to these applications, especially to some time-sensitive …

Because of the rapid rise in the count of corporations using cloud-dependent infrastructure
as the foundation for big data storing and analysis. The fundamental difficulty in scheduling …

As data processing capabilities improved, the flow of data increased significantly,
necessitating the use of distributed systems and a new programming framework …

Background: With the development of technology, the data amount has increased
significantly. In data processing, the multi table query is the most frequent operation …

Background: With the rapid development of science, more data is available to human
beings. Therefore, the storage and calculation of big data have become the focus of …

Increased demand for record linkage of administrative data, coupled with privacy risks,
presents considerable challenges for many organisations. The primary objective of this …