On the 15th of July 2015, Alexandra DEGEEST presented her research on feature selection in dynamic environments during the International Joint Conference on Neural Networks in Killarney, Irland.
IJCNN is the premier international conference in the area of neural networks. IJCNN 2015 is organized by the International Neural Network Society (INNS), and sponsored jointly by INNS and the IEEE Computational Intelligence Society – the two leading professional organizations for researchers working in neural networks.
Feature selection and taking into account dynamic environments are two important aspects of modern data analysis and machine learning. In particular, performing feature selection on datasets where the latest instances contain more features than the initial ones is a problem that may be encountered in many application areas where new sensors are acquired. This work proposes a method for incremental feature selection with rankings combining the information extracted before and after the introduction of new features, even when the number of instances that include these new features is small.