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Regular version of the site

Book chapter

Early Performance Evaluation of Supervised Graph Anomaly Detection Problem Implemented in Apache Spark

P. 84-91.
Mazeev A., Semenov A., Dmitry D., Timur Y.

Apache Spark is one of the most popular Big Data frameworks. Performance evaluation of Big Data frameworks is a topic of interest due to the increasing number and importance of data analytics applications within the context of HPC and Big Data convergence. In the paper we present early performance evaluation of a typical supervised graph anomaly detection problem implemented using GraphX and MLlib libraries in Apache Spark on a cluster.

In book

Edited by: A. Sozykin, D. Ustalov. Vol. 1990: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists. CEUR Workshop Proceedings, 2017.