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High Fidelity Data Reduction for Big Data Security Dependency Analyses

Research article (Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016) · cited 152× · AI/ML
academia openalex:W2532844970
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High Fidelity Data Reduction for Big Data Security Dependency Analyses

Summary

High Fidelity Data Reduction for Big Data Security Dependency Analyses is a scholarly article[1].

Key Facts

  • High Fidelity Data Reduction for Big Data Security Dependency Analyses's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). High Fidelity Data Reduction for Big Data Security Dependency Analyses. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-fidelity-data-reduction-for-big-data-security-dependency-analyses
MLA “High Fidelity Data Reduction for Big Data Security Dependency Analyses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-fidelity-data-reduction-for-big-data-security-dependency-analyses.
BibTeX @misc{4ortxyz_high-fidelity-data-reduction-for-big-data-security-dependency-analyses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High Fidelity Data Reduction for Big Data Security Dependency Analyses}}, year = {2026}, url = {https://4ort.xyz/entity/high-fidelity-data-reduction-for-big-data-security-dependency-analyses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): High Fidelity Data Reduction for Big Data Security Dependency Analyses — https://4ort.xyz/entity/high-fidelity-data-reduction-for-big-data-security-dependency-analyses (retrieved 2026-05-24)

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