preprocessing
1
5.2
- noun
- /priːˈprəʊsɛsɪŋ/
- Specialized
:
preprocesamiento
- Preprocessing is completed by building a trajectory representation of two consecutive weeks.
- preprocessing steps
Examples
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In the next video, we'll see how to run these preprocessing steps in R.
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Our proposed CKM-CT methodology employs automatic data acquisition from clinical documents, data quality, language standardization, preprocessing, and machine learning algorithm selection.
Academic text (2016) -
Perform the following preprocessing steps:
Academic text (1996) -
Materials receiving and preprocessing are done in a covered, but not enclosed, building.
Academic text (1998) -
In preprocessing, one frequently occurring issue is the missing values in data, which requires resolution with different value imputation techniques.
Academic text (2016) -
The methodology involves five core functions: data acquisition, data quality assessment and language standardization, data preprocessing, algorithm selection, and a knowledge builder.
Academic text (2016) -
Before analyzing the data, we must complete the preprocessing to ensure its quality.
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The preprocessing of the dataset involved cleaning the data and removing duplicates.
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Effective preprocessing improves the accuracy of results during data analysis.
Synonyms
1
5.1
An action or product that prepares something before the main treatment
Preparing something in advance to make it work better
How Ready
Surface Forms
Morphology
preprocessing = preprocess (transparent) = pre + process + ing
This is a regular noun in -ing built from the verb 'preprocess' and means the act or process of doing it.
Etymology
Preprocessing comes from pre- meaning 'before' and the root process meaning 'a set of steps to work on something'. So preprocessing is the small work you do to data or material before you use or study it, like washing and cutting ingredients before cooking.