Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Relational databases are known as collections of structured data within the digital structure
and are normally arranged in rows and columns. However, most business data are present …

The public sector, private firms, business community, and civil society are generating data
that are high in volume, veracity, and velocity and come from a diversity of sources. This type …

Generating value from big data is a task that requires models' preparation and use of
advanced technologies but which, above all, is based on the ability to extract, manage and …

Clinical conversations between physicians and patients can provide a rich source of data,
information, and knowledge. A plethora of tools and technologies have been developed to …

As the enormous amount of data is generated with a high speed a new era of data
processing age has startedThe Big Data Processing'. Big Data deals with the data that have …

Currently, the information is available in the organizations to gain more utilities together with
some reason such as improving the strategy of organization, research, or etc.,. For this …

Bibliography | Loss Data Analytics Loss Data Analytics Preface Agradecimientos
Colaboradores Revisores Traducción al español Para nuestros lectores 1 Introducción a la …

Анотація В статті аналізуються переваги застосування Штучного Інтелекту (ШІ) в різних
галузях та ризики впливу на виконання завдань забезпечення інформаційної безпеки …

Following a series of legislative changes around privacy over the past 25 years, this study
highlights data protection regulations and the complexities of applying these frameworks. To …