feature aggregation
[/ˈfiːtʃər ˌæɡrɪˈɡeɪʃən/]
nounfemininepl: feature aggregations / agregações de características
agregação de características
1. A machine learning and data processing technique that combines multiple individual features or attributes into a single, more meaningful feature or representation
Feature aggregation helped reduce the dimensionality of the dataset while preserving important information.
A agregação de características ajudou a reduzir a dimensionalidade do conjunto de dados enquanto preservava informações importantes.
2. The process of merging or pooling extracted features from different layers or regions in neural networks
The convolutional neural network uses feature aggregation to combine outputs from multiple filters.
A rede neural convolucional usa agregação de características para combinar saídas de múltiplos filtros.
3. In data analysis, the consolidation of granular feature-level data into higher-level summaries or representations
Feature aggregation across time windows created temporal features for time-series forecasting.
A agregação de características em janelas de tempo criou características temporais para previsão de séries temporais.
Feature aggregation is a technical term primarily used in artificial intelligence, machine learning, and data science communities. It is equally understood and used in both Brazil and Portugal, particularly in academic and technology sectors. In Brazil, there is a tendency to mix English and Portuguese terminology (using 'features' with Portuguese verbs), reflecting the influence of international tech culture. The term has become standardized in Brazilian universities and tech companies as machine learning adoption has increased.
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