Today's internet data primarily consists of streamed data from various applications like
sensor networks, banking data and telecommunication data networks. A new field of study …

Big data is a trending word in the industry and academia that represents the huge flood of
collected data, this data is very complex in its nature. Big data as a term used to describe …

In an era of ubiquitous large-scale evolving data streams, data stream clustering (DSC) has
received lots of attention because the scale of the data streams far exceeds the ability of …

Beyond applying machine learning predictive models to static tasks, a significant corpus of
research exists that applies machine learning predictive models to streaming environments …

Machine learning is becoming an attractive topic for researchers and industrial firms in the
area of computational intelligence because of its proven effectiveness and performance in …

Day by day, the number of devices in IoT networks is increasing, and concurrently, the size
of botnets in IoT networks is also expanding. Currently, attackers prefer IoT-based botnets to …

Recently, smart cities and their enabling technologies, such as the Internet of Things (IoT),
have grown significantly. This trend has led to an exponential increase in smart devices and …

Large general-purpose knowledge graphs (KGs) are a critical component for knowledge-
driven applications. However, most KGs represent only a limited view of the entities and …

What leads states to exit from treaties? Is treaty exit simply a reversal of the conditions that
lead states to commit to a treaty? What factors increase the likelihood a state will withdraw …

As regulations surrounding cannabis continue to develop, the demand for cannabis-based
products is on the rise. Despite not producing the psychoactive effects commonly associated …