TY - CHAP AU - Silvia Cateni AU - Marco Vannucci AU - Marco Vannocci AU - Valentina Colla ED - Leandro Valim de Freitas ED - Ana Paula Barbosa Rodrigues de Freitas Y1 - 2013-01-09 PY - 2013 T1 - Variable Selection and Feature Extraction Through Artificial Intelligence Techniques N2 - Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. The wide application of multivariate techniques and the need to spread them more fully in the academic and the business justify the creation of this book. The objective is to demonstrate interdisciplinary applications to identify patterns, trends, association sand dependencies, in the areas of Management, Engineering and Sciences. The book is addressed to both practicing professionals and researchers in the field. BT - Multivariate Analysis in Management, Engineering and the Sciences SP - Ch. 6 UR - https://doi.org/10.5772/53862 DO - 10.5772/53862 SN - PB - IntechOpen CY - Rijeka Y2 - 2024-03-19 ER -