International Journal of Multivariate Data Analysis

Editor in Chief
Prof. Dr. Luiz Paulo Fávero
ISSN online
2396-8311
ISSN print
2396-8303
4 issues per year

Subscription price

We are living with the simultaneous occurrence of five characteristics - or dimensions - related to the generation and availability of data: volume, velocity, variety, variability and complexity. IJMDA proposes and fosters discussion on the application of multivariate techniques and on development of new theoretical methods, emphasising the hierarchy between data, information and knowledge in this new scenario, and showing how data, modelling and analysis can lead to better decision making. IJMDA provides an international and multidisciplinary approach to this important topic.