Knowledge management is a process that converts data into explicit knowledge that helps them make decisions. To transform the data into knowledge, there are a number of techniques to help discover patterns of behavior, relationships, rules, associations and even useful exceptions of reality analyzed. These techniques constitute a discipline called Data Mining encompassing various techniques, tools and research results used to extract useful information from large databases.

Data mining has applications in many different domains (business, government, hospitals) for different purposes (classification, prediction). Have for all those interested in exploiting their databases, whatever their nature, qualitative, quantitative even textual.

Multivariate Statistical Methods Development

The team has worked on the development and adaptation of new methods of multivariate analysis that match specific customer problems where classical methods do not give satisfactory results. Thus, a novel classification methodology for obtaining a consumer typologies proposed telecommunications multinational, considering that many of them did not consume certain products (high presence of null values).