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Time series data mining: preprocessing, analysis, segmentation and prediction. Applications
(Universidad de Córdoba, UCOPress, 2019)
Currently, the amount of data which is produced for any information system is increasing exponentially. This motivates the development of automatic techniques to process and mine these data correctly. Specifically, in this ...
Distributed multi-label learning on Apache Spark
(Universidad de Córdoba, UCOPress, 2019)
This thesis proposes a series of multi-label learning algorithms for classication and feature selection implemented on the Apache Spark distributed computing model. Five approaches for determining the optimal architecture ...
New challenges on associative classification: Big Data and applications
(Universidad de Córdoba, UCOPress, 2020)
La clasificación asociativa surge como resultado de la unión de dos importantes ámbitos del aprendizaje automático. Por un lado la tarea descriptiva de extracción de reglas de asociación, como mecanismo para obtener ...
Multi-label classification models for heterogeneous data: an ensemble-based approach
(Universidad de Córdoba, UCOPress, 2020)
In recent years, the multi-label classification task has gained the attention of the scientific community given its ability to solve real-world problems where each instance of the dataset may be associated with several ...