… data era, clustering is one of the most popular data mining method. Most clustering algorithms
have … In: 1st international conference on advances in science, engineering and robotics …

… The method needs to Nnow the information of various categories of sample data in advance.
… With the arrival of the era of big data, the amount of data is growing exponentially. In the …

… We are witnessing the era of big data computing where computing the resources is becoming
the main bottleneck to deal with those large datasets. In the case of high-dimensional data …

… -based clustering algorithms available today (… clustering algorithm that detects densely
connected communities within a network. It is one of the fastest graph-based clustering algorithms …

… The era of internet of things (IoT) enhances data sharing among connected objects and …
a normal and advanced battery level. The extended version of the Distributed Energy-Efficient …

… In the current era there are lots of work have been carried out in the direction of … They
have suggested that effective clustering algorithm for the wireless channels or time-variant …

… the underlying structure of data[5, 6], especially in the era of big data[7]. The basic idea of …
, and dissimilar objects are divided into different clusters. Many advanced clustering algorithms …

… This section discusses the context in which our research occurs by describing advances in
the literature that are related to our work and include: (i) general methodologies designed for …

… wireless networks in the big data era and the induced challenges in … Architectures of Wireless
Networks in the Big Data Era A … recent technological advances in energy-efficient resource …

… Although advanced e-learning platforms such as Moodle are widely used, they lack plugins
… Our machine learning approach first uses clustering algorithms on Moodle data to identify …