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## Background

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Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification — Recommend this title to your library

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This chapter provides the necessary background that will enable a reader to better understand the remaining chapters of this book. It briefly describes and reviews the progress that has been made in three fields, namely dimensionality reduction, clustering-based methods, and data-driven intrusion detection systems (IDSs). These three areas will hopefully provide a reader with a comprehensive background that will facilitate an understanding of the work carried out in this book.

Chapter Contents:

• 2.1 Dimensionality reduction
• 2.2 Clustering-based methods
• 2.3 Data-driven IDSs
• 2.4 Conclusion

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Background, Page 1 of 2

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