In future IoT big-data management and knowledge discovery for large scale industrial
automation application, the importance of industrial internet is increasing day by day …

Human activity, life span, and quality of life are enhanced by innovations in science and
technology. Aging individual needs to take advantage of these developments to lead a self …

The current rapid growth of Internet of Things (IoT) in various commercial and non-
commercial sectors has led to the deposition of large-scale IoT data, of which the time …

In a progressive business intelligence (BI) environment, IoT knowledge analytics are
becoming an increasingly challenging problem because of rapid changes of knowledge …

In-network distributed analytics are the major research challenges on data-centric IoT
network. The rapid growing IoT applications on BI-services desire a generic framework in …

The latest internet of everything (IoE) advancements in data elicitation and digital storage
technology leads to a large heterogeneous data depository, in which the IoE data are stored …

The progressive data science and knowledge analytic tasks are gaining popularity across
various intellectual applications. The main research challenge is to obtain insight from large …

The rapid increasing of real-time applications in today's IoT (internet of things) world
progressively lead to several problem issues such as, data volume, velocity, variety, and …

Data in medical data warehouses are often used in data analytics and online analytical
processing tools. OLAP techniques do not process enterprise data for hidden or unknown …

Mobile cloud computing (MCC), which combines mobile computing and cloud computing,
has become one of the industry's most common terms and a major topic of discussion in the …