Anomaly Detection in Big Data based on Clustering

  • Rasim Alguliyev Institute of Information Technology, Azerbaijan National Academy of Sciences
  • Ramiz Aliguliyev Institute of Information Technology, Azerbaijan National Academy of Sciences
  • Lyudmila Sukhostat Institute of Information Technology, Azerbaijan National Academy of Sciences
Keywords: Outlier detection, anomaly detection, Big data, clustering, clusters' compactness, clusters' separation.


Selection of the right tool for anomaly (outlier) detection in Big data is an urgent task. In this paper algorithms for data clustering and outlier detection that take into account the compactness and separation of clusters are provided. We consider the features of their use in this capacity. Numerical experiments on real data of different sizes demonstrate the effectiveness of the proposed algorithms.


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How to Cite
Alguliyev, R., Aliguliyev, R., & Sukhostat, L. (2017). Anomaly Detection in Big Data based on Clustering. Statistics, Optimization & Information Computing, 5(4), 325-340.
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