data-driven classification
[/ˈdeɪtə ˈdrɪvən ˌklæsɪfɪˈkeɪʃən/]
nounfemininepl: classificações orientadas por dados
classificação orientada por dados
1. A method of organizing or categorizing information based on patterns, statistics, and insights derived from analyzing large datasets rather than on predefined rules or human judgment
The company implemented a data-driven classification system to automatically sort customer inquiries by urgency and category.
A empresa implementou um sistema de classificação orientado por dados para organizar automaticamente as consultas de clientes por urgência e categoria.
2. In machine learning and artificial intelligence, a process where classification models learn from training data to predict categories or labels for new, unseen data
Data-driven classification algorithms improved the accuracy of disease diagnosis in medical imaging.
Os algoritmos de classificação orientados por dados melhoraram a precisão do diagnóstico de doenças em imagens médicas.
In Brazil, data-driven classification is increasingly adopted in tech startups and large corporations, particularly in financial services, e-commerce, and telecommunications. The term reflects the growing importance of AI and machine learning in Brazilian business culture. In the USA, it's a foundational concept in data science and is extensively used across all tech industries, startups, and enterprise solutions.
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