Data Mining - Castro Cabeza, Dionis
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It is a discipline that combines techniques of Artificial Intelligence, Computational Learning, Probability, Statistics, and Databases to extract useful information and knowledge from large amounts of data, it is a constantly evolving technique, which adapts to new needs and new challenges. It can be defined as an analytical process, designed to explore large amounts of data, with the objective of finding relationships between different variables, in order to apply them to new data sets.

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Produktbeschreibung
It is a discipline that combines techniques of Artificial Intelligence, Computational Learning, Probability, Statistics, and Databases to extract useful information and knowledge from large amounts of data, it is a constantly evolving technique, which adapts to new needs and new challenges. It can be defined as an analytical process, designed to explore large amounts of data, with the objective of finding relationships between different variables, in order to apply them to new data sets.
Autorenporträt
Dionis Castro Cabeza, born in Esmeraldas - Ecuador, teacher of the subjects: Technical Support, Programming and Databases. Teacher at the Unidad Educativa Fiscomisional "Monseñor Angel Barbisotti".