A popular unsupervised learning method, known as clustering, is extensively used in data
mining, machine learning and pattern recognition. The procedure involves grouping of …

The structural graph clustering algorithm (SCAN) is an essential graph mining tool that
reveals clusters, hubs, and outliers included in a given graph. Although SCAN is used in …

The network size is rapidly growing and providing many opportunities to examine
networking data (graph data). The structural clustering algorithm (SCAN) builds the cluster …

Graph clustering is one of the key techniques to understand structures that are presented in
networks. In addition to clusters, bridges and outliers detection is also a critical task as it …

Abstract Structural Graph Clustering (SCAN) is a fundamental problem in graph analysis
and has received considerable attention recently. Existing distributed solutions either lack …

Graph analysis plays a crucial role in understanding the relationships and structures within
complex systems. This thesis focuses on addressing fundamental problems in graph …

Clustering is a general task of data mining where partitioning a large dataset into dissimilar
groups is done. The enormous growth of Geo-Social Networks (GeoSNs) includes users …

Big data refers to the generation of a huge volume of data continuously. Hence, analytics on
such as large volume of data is becoming more complex regarding more time consumption …

The purpose of this study was to explore and analyze the utilization of learning analytics
data produced by a learning management system as an indicator of learners' self-regulation …