Publicación: A FORMAL METHOD FOR DRIVER IDENTIFICATION
Fecha
2022
Autores
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COMPUTATIONAL INTELLIGENCE AND MATHEMATICS FOR TACKLING COMPLEX PROBLEMS 4
Resumen
THIS PAPER PRESENTS A PRELIMINARY STUDY OF THE APPLICATION OF FORMAL CONCEPT ANALYSIS TO AUTOMATIC DRIVER IDENTIFICATION. SPECIFICALLY, A METHODOLOGY BASED ON ATTRIBUTE IMPLICATIONS HAS BEEN CONSIDERED AND ITS MAIN FEATURES HAVE BEEN STUDIED. FROM A PARTICULAR DATASET, THE PROPOSED METHODOLOGY FOCUSES ON DRIVER RECOGNITION BY ANALYZING THE VALUES OF A SUBSET OF VARIABLES RELATED
TO DRIVING STYLE.
Descripción
Palabras clave
FORMAL CONCEPT ANALYSIS, DRIVER IDENTIFICATION, DATA CLASSIFICATION, ATTRIBUTE IMPLICATION
