Big data aggregation in the case of heterogeneity: a feasibility study for digital health

In big data applications, an important factor that may affect the value of the acquired data is the missing data, which arises when data is lost either during acquisition or during storage. The former can be a result of faulty acquisition devices or non responsive sensors whereas the latter can occur as a result of hardware failures at the storage units. In this paper, we consider human activity recognition as a case study of a typical machine...