Big data methodologies, made possible with the increasing generation and availability of
digital data and enhanced analytical capabilities, have produced new insights to improve …

Big data analytics enables large-scale data sets integration, supporting people management
decisions, and cost-effectiveness evaluation of healthcare organizations. The purpose of this …

Healthcare systems are transformed digitally with the help of medical technology,
information systems, electronic medical records, wearable and smart devices, and handheld …

Pervasive healthcare services have undergone a great evolution in recent years. The
technological development of communication networks, including the Internet, sensor …

Big data has revolutionized the world by providing tremendous opportunities for a variety of
applications. It contains a gigantic amount of data, especially a plethora of data types that …

Big data is considered as one of the most promising technological advancements in the last
decades. Today it is used for a multitude of data intensive projects in various domains and …

The constant advancements in Information Technology have been the main driver of the Big
Data concept's success. With it, new concepts such as Industry 4.0 and Logistics 4.0 are …

Efficient big data management is a dire necessity to manage the exponential growth in data
generated by digital information systems to produce usable knowledge. Structured …

Data warehousing (DW) is a widespread and essential practice in business organizations
that support the data analytic and decision-making process. Despite the importance of DW in …

In this paper, we indented to propose a consolidated feature selection and ensemble-based
classification strategy to diminish the medical big data. Here, the proposed system will be …