April 2016
Beginner to intermediate
463 pages
18h 53m
English
Content preview from Big Data
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Composite Big Data Modeling for Security Analytics
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16.9 Conclusion and Future Works
We have shown that the structured machine learning techniques can be useful for big data
analytics and modeling. Structured domain knowledge is modeled as RDF(S) ontologies, and
SPARQL queries provide a labeled training dataset for an inductive learning to evaluate its
learning robustness. Semantics-enabled (semi-)supervised learning is the technique to empower
the structure machine learning concept for security analytics.
In perfect domain knowledge learning, a security expert has complete knowledge about
the intrusion behaviors. All data are correctly classified ...