The increasing number and variety of IoT (Internet of Things) devices produce a huge
amount of diverse data upon which applications are built. Depending on the specific use …

The time series data generated by massive sensors in Internet of Things (IoT) is extremely
dynamic, heterogeneous, large scale and time-dependent. It poses great challenges (eg …

Across the enterprise sector, the business case for Internet of Things (IoT) deployments is
increasingly based on big data and analytics. Mere connectivity already allows valuable …

As an important driving factor of emerging Internet-of-Things (IoT) applications, machine
learning algorithms are currently facing the challenge of how to “clean” data noise, that is …

The plethora of sensors deployed in Internet of Things (IoT) environments generate
unprecedented volumes of data, thereby creating a data deluge. Data collected from these …

With the spectacular growth of the Internet of Things, edge processing emerged as a
relevant means to offload data processing and analytics from centralized Clouds to the …

The awareness of edge computing is attaining eminence and is largely acknowledged with
the rise of the Internet of Things (IoT). Edge-enabled solutions offer efficient computing and …

The IoT devices captures data and sends it to Cloud for computation but data transfer
process from IoT device to Cloud can take lot of time if volume of data is large. Therefore, it …

Break through the hype and learn how to extract actionable intelligence from the flood of IoT
data About This Book Make better business decisions and acquire greater control of your IoT …

In the last few years, the number of Internet of Things devices (eg, smart sensors) connected
to the internet has increased significantly and is expected to exceed ten billion devices in the …