Databases and Information Systems Commons^™

Ensemble Of Feature Selection Techniques For High Dimensional Data, Sri Harsha Vege

Masters Theses & Specialist Projects

Data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships from large amounts of data stored in databases, data warehouses, or other information repositories. Feature selection is an important preprocessing step of data mining that helps increase the predictive performance of a model. The main aim of feature selection is to choose a subset of features with high predictive information and eliminate irrelevant features with little or no predictive information. Using a single feature selection technique may generate local optima.

In this thesis we propose an ensemble approach for feature selection, where multiple …