ALMA LILIA GARCIA-ALMANZA – THE REPOSITORY METHOD FOR CHANCE DISCOVERY IN FINANCIAL FORECASTING (ARTICLE)

Alma Lilia Garcia-Almanza obtained her Ph.D. and Master degree in Computer Science from the University of Essex, UK (2008, 2004). She works in the Mexican Central Bank as a System Analyst. Nowadays she is Member of the Mexican Researchers System and she has an Award of Title as a Visiting Fellow for the University of Essex. Her research has been focused on financial forecasting; she has created different methods based on Evolutionary Algorithms to deal with rare cases in extremely imbalance datasets by means of the extraction of patterns. She has published her research in numerous articles in international scientific journals and chapters in books.

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