DURA GARCIA, ENCARNACIO MARIA(Universitat Politècnica de València, 2012-05-25)
This thesis presents an approach which relies on automatic learning and
data mining techniques in order to search the best group of items from a
set, according to the behaviour observed in previous groups.
The approach ...
The problem of estimating the class distribution (or prevalence) for a new unlabelled dataset (from a possibly different distribution) is a very common problem which has been addressed in one way or another in the past ...
Bella Sanjuán, Antonio(Universitat Politècnica de València, 2011-11-28)
Data mining is useful in making single decisions. The problem is when there are several
related problems and the best local decisions do not make the best global result. We
propose to calibrate each local data mining ...
Verdeguer Ferrero, José Ramón(Universitat Politècnica de València, 2012-10-23)
Este proyecto trata de extraer conocimiento útil y novedoso de los datos de las viviendas almacenados en un portal web inmobiliario. Para lo cual, se preparan dichos datos de las viviendas y se realizan unos modelos de ...
Bella Sanjuán, Antonio(Universitat Politècnica de València, 2012-07-31)
El aprendizaje autom�atico es un �area de investigaci�on que proporciona algoritmos
y t�ecnicas que son capaces de aprender autom�aticamente a partir
de experiencias pasadas. Estas t�ecnicas son esenciales en el �area de ...
Bella Sanjuán, Antonio; Ferri Ramírez, César; José Hernández-Orallo; Ramírez Quintana, María José(Springer Verlag (Germany), 2012-06)
A general approach to classifier combination considers each model as a probabilistic classifier which outputs a class membership posterior probability. In this general scenario, it is not only the quality and diversity of ...
Data mining is usually concerned on the construction of accurate models from data, which are usually applied to well-defined problems that can be clearly isolated and formulated independently from other problems. Although ...