Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
Latent class cluster analysis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Benchmark on synthetic data finds learned-weights matching most accurate for intra-physician discordance estimation, with good rank preservation under separated groups.
citing papers explorer
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Why Network Segmentation Projects Fail
Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
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How to measure intra-physician variability in clinical decision-making?
Benchmark on synthetic data finds learned-weights matching most accurate for intra-physician discordance estimation, with good rank preservation under separated groups.