Dimensionality Reduction for Intrusion Detection Systems in Multi-data Streams—A Review and Proposal of Unsupervised Feature Selection Scheme-Reference-Cited by-同舟云学术

Dimensionality Reduction for Intrusion Detection Systems in Multi-data Streams—A Review and Proposal of Unsupervised Feature Selection Scheme

Published:2016-11-05 Issue: Volume: Page:467-487
ISSN:2194-7287
Container-title:Emergent Computation
language:
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Author:

Almusallam Naif Y.,Tari Zahir,Bertok Peter,Zomaya Albert Y.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46376-6_22

Reference97 articles.

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4. Angiulli, F., Basta, S., Lodi, S., Sartori, C.: Distributed strategies for mining outliers in large data sets. IEEE Trans. Knowl. Data Eng. 25, 1520–1532 (2013)

5. Ankerst, M., Breunig, M.M., Kriegel, H.-P., Sander, J.: OPTICS: ordering points to identify the clustering structure. In: ACM SIGMOD Record, pp. 49–60 (1999)

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