- -

Machine Learning: Experimental Validation of Inhouse Advanced Data Classification Techniques. Improvement in Random Forest algorithm implemented in R language.

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Machine Learning: Experimental Validation of Inhouse Advanced Data Classification Techniques. Improvement in Random Forest algorithm implemented in R language.

Show full item record

Isusi Fagoaga, VL. (2015). Machine Learning: Experimental Validation of Inhouse Advanced Data Classification Techniques. Improvement in Random Forest algorithm implemented in R language. http://hdl.handle.net/10251/56727.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56727

Files in this item

Item Metadata

Title: Machine Learning: Experimental Validation of Inhouse Advanced Data Classification Techniques. Improvement in Random Forest algorithm implemented in R language.
Author:
Director(s): Ferri Ramírez, César Medhat Gaber, Mohamed
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Read date / Event date:
2015-09-21
Issued date:
Abstract:
Nowadays the amunt of data generated per day in the world is substantially higher. Therefore, it is crucial to improve the techniques for extracting knowledge in this context. This project research in this line regarding ...[+]
Copyrigths: Cerrado
degree: Grado en Ingeniería Informática-Grau en Enginyeria Informàtica
Type: Proyecto/Trabajo fin de carrera/grado

This item appears in the following Collection(s)

Show full item record