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Preprocessing

Preprocessing AIO:Preprocessing NOT_REVIEWED
A process applied to raw data before it is used in a machine learning model, including tasks such as normalization, scaling, encoding, and transformation, to ensure the data is in an appropriate format and quality for analysis.
Ontology IRI: https://w3id.org/aio/Preprocessing

Ontology Structure & Relationships

Parent Classes
  • owl:Thing
Branches
Preprocessing

Annotations & Sources

Definition Sources:
Subsets:
  • https://w3id.org/aio/PreprocessingSubset

Curated AIMech Concepts Grounded to this Class

1 Concept
Curated Concept Kind Mapping Relation Rationale
RAPID support vector data description sampling
AIMech:RapidSupportVectorDataDescriptionSampling
 Preprocessing Methods broad_match AIO:Preprocessing is broader: RAPID transforms the available observations into a selected training subset before an SVDD model is fitted. This mapping states the intended role of the procedure, not a guarantee of improved data quality or classifier accuracy. DataPreparation and TrainingStrategy are generic neighboring scopes, not exact names for this density-pruning method. BinaryClassification is the downstream accept/reject task rather than the selection algorithm. SupportVectorMachine describes a supervised category-separating network; KernelLayer is a neural component. SelectionAndSamplingBias is a bias condition, not a sample-selection procedure. Native SVDD fits a sphere; CSVDD grows a core using repeated SVDD fits, whereas RAPID prunes a density surrogate without those fits. CNNDD and CPDD use different distance-based consistency or coverage rules.

Import Provenance & Upstream Synchronization

Source Repo: AIO GitHub
Release Version: aio.json
Commit: 397851c547…
License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256: 8f741d71408c…
Source File: data/aio/Preprocessing.yaml