Sentence examples for Private datasets from inspiring English sources

Exact(30)

Given that this is not "patient data" but "patients' data", handling large personal private datasets is a highly delicate issue.

The Health Service Journal's (HSJ) new Intelligence tool combines journalistic insight with public and private datasets to give insight into the inner workings of the NHS.

This paper presents a framework that automatically locates public data of interest to the researcher and semantically integrates it with existing private datasets.

While semantic integration techniques have traditionally focused on providing homogeneous access to private datasets thus helping automate the first part of the research, and there exist different solutions for browsing public data, there is still a need for tools that facilitate merging public repositories with private datasets.

PrivateClean includes a technique for creating private datasets of numerical and discrete valued attributes, a formalism for privacy-preserving data cleaning, and techniques for answering sum, count, and avg queries after cleaning.

On private datasets, classification accuracies of as high as 100% have also been reported [33, 35].

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Similar(30)

Furthermore, the alarms given off by our application are evaluated on a naturalistic private dataset, where it is evidenced that our expert video-surveillance system can effectively detect suspicious behaviors with a low computational cost in a shopping mall context.

The size of this dataset ranks second in the literature, only smaller than the private dataset of Facebook.

In the event that the past systems are registered on disjoint subsets of the private dataset then the capacity K would be max {i}-differentially private.

uBiome also has the largest private dataset of human microbiome samples in the world, giving participants a quick way to compare what's in their microbiome to a large group.

A similar trend is observed for frequency based methods which report, on the average, accuracies of more than 80% on the public PASCAL challenge dataset while a classification rate of 100% is claimed on a private dataset [16].

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