Sentence examples for data scrubbed from inspiring English sources

Exact(1)

It's hard to know just how closely Google is tracking me, but BlueKai – a digital marketing giant that boasts one of the most comprehensive collections of third-party data scrubbed from all over the Web – allows users to look up their consumer profiles to see how they're sold to advertisers.

Similar(59)

Here we propose a new data-driven, spatially-adaptive, wavelet-based method for identifying, modeling, and removing non-stationary events in fMRI time series, caused by head movement, without the need for data scrubbing.

(As a side note: it looks as if Facebook may be doing some data scrubbing on these previous check-ins as the numbers are hopping around and sometimes check-ins before a few weeks ago don't show up at all).

ReFS resiliency features enhance the mirroring feature provided by Storage Spaces and can detect whether any mirrored copies of files become corrupt using background data scrubbing process, which periodically reads all mirror copies and verifies their checksums then replaces bad copies with good ones.

Such transformation and normalisation is usually called "data standardisation" in the medical record literature, and "data cleaning" or "data scrubbing" in the computer science literature.

In the heterogeneous EHR infrastructure consisting primarily of commercially developed systems, metadata and vocabulary were managed under a decentralized model, and individual systems were identified as the sources of truth for specific attributes as part of data scrubbing [ 29].

The collected data are then preprocessed (data scrubbing, segmentation, filtering, and smoothing) and analyzed (variable selection and principal component analysis).

The terms data cleaning (or data cleansing), data standardisation, data scrubbing, data pre-processing and ETL (extraction, transformation and loading) are used synonymously to refer to the general tasks of transforming source data into clean and consistent sets of records suitable for loading into a data warehouse, or for linking with other data sets.

Those involved had cooperated, and the computer that received the data was scrubbed clean by agency technicians.

The collected data were scrubbed for outliers and statistical significance across the four test groups in each sex was determined using individual t-test comparisons and aggregate ANOVA analysis.

"We also utilise technology like data mining and big data to scrub our platforms of counterfeits".

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