data pre-processing

https://doi.org/10.1351/goldbook.10048

Manipulation of raw data prior to a specified data analysis treatment.

Notes:
  1. The term "pre-processing" is preferred to the term "pre-treatment" to reduce confusion with physical sample preparation or treatment prior to experimental analysis.
  2. Aside from the three main categories of data pre-processing methods (mean centering, scaling and transformation), data pre-processing can refer to any other procedures carried out on the raw data, including mass binning and peak selection. In the case of multivariate images, this can also include region-of-interest selection and image filtering or binning.
  3. All data pre-processing methods imply some assumptions about the nature of the variability in the data set. It is important that these assumptions are understood and appropriate for the data set involved.
  4. More than one data pre-processing method can be applied to the same data set. The order of data pre-processing is important and can affect assumptions made on the nature of variance in the data set.
Source:
PAC, 2016, 88, 407. (Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)) on page 409 [Terms] [Paper]