In recent years, data analytics has been studied in a broad range of areas, such as health-care, social sciences, and commerce. In order to accurately capture user requirements for enhancing communication between analysts, domain experts and users, conceptualising data analytics tasks to provide a high level of modelling abstraction becomes increasingly important. In this paper, we discuss the ...

Finding associations among different diseases is an important task in medical data mining. The NHANES data is a valuable source in exploring disease associations. However, existing studies analyzing the NHANES data focus on using statistical techniques to test a small number of hypotheses. This NHANES data has not been systematically explored for mining disease association patterns. In this reg...

The intricacy of information is one the most important properties data scalability. In regarding unification and solution big challenges, heterogeneous plays an role. As a result vast amount computation storage guidelines recommended by big-scale databases, each them are vital, but they also difficult to view analyse. Digital extraction in era, which increases at exponential rate, huge challeng...