Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

With the rapid development of the Big Data and Internet of Things (IoT), Big Data
technologies have emerged as a key data analytics tool in IoT, in which, data clustering …

Abstract The advent of Big Data has led to the rapid growth in the usage of parallel
clustering algorithms that work over distributed computing frameworks such as MPI …

We develop and extensively evaluate highly scalable distributed-memory algorithms for
computing minimum spanning trees (MSTs). At the heart of our solutions is a scalable …

The use of multi-dimensional indexing structures has gained a lot of attention in data mining.
The most commonly used data structures for indexing data are R-tree and its variants, quad …

The Web of Things (WoT) is an enhanced form of the Internet of Things (IoT) that has
changed the trend of life nowadays. Due to IoT, life is transformed into smart life, such as …

Clustering of data streams has become very popular in recent times, owing to rapid rise of
real-time streaming utilities that produce large amounts of data at varying inter-arrival rates …

Due to the massive data increase in different Internet of Things (IoT) domains such as
healthcare IoT and Smart City IoT, Big Data technologies have been emerged as critical …

Current expectations on popular classification methods in today's data mining software are
increasing due to the large volumes of generated data from online interactive systems …

The growing trend of Big Data drives additional demand for novel solutions and specifically-
designed algorithms that will perform efficient Big Data filtering and processing, recently …