data preprocessing
/ˈdeɪ.tə ˈpriː.prəˌsɛs.ɪŋ/ · da·ta pre·proc·es·sing
noun
- The set of techniques and operations applied to raw data to clean, transform, and organize it into a suitable format for analysis or modeling. Before training the neural network, the team performed extensive data preprocessing, including normalization and outlier removal.
- The overall stage in a data‑science workflow that prepares data for downstream tasks such as statistical analysis, visualization, or machine learning. Effective data preprocessing can dramatically improve the accuracy of predictive models.
Synonyms
data cleaningdata preparationdata wranglingdata conditioningdata transformationfeature engineeringdata curationdata sanitization
Antonyms
Did you know? The phrase “data preprocessing” first appeared in academic literature around 1995, coinciding with the emergence of large‑scale machine‑learning projects that required systematic data handling before model training.