This tutorial assumes that the user already has a basic working knowledge of Aeron Messaging. Aeron Cluster is a framework for high-performance in-memory fault-tolerant services. It implements the ...

LEO4 is a high performance compute cluster of the ZID (IT-Center) at the University of Innsbruck, operated in close cooperation with the Research Area Scientific Computing. The system consists of 50 ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Community driven content discussing all aspects of software development from DevOps to design patterns. Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service from AWS that allows ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

Abstract: This paper presents a concise tutorial on spectral clustering for broad spectrum graphs which include unipartite (undirected) graph, bipartite graph, and directed graph. We show how to ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany. A social network refers to ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.