Project EMERalD (EMERging trends in Data analysis) has as main objective to develop data analysis methodologies/proposals for solving complex problems in biomedicine and education.
Status: In progress
Duration: January 2018 – December 2020
Budget: 57,112 €
Project MARFIL (Mining data with more flexible representations) has as objective to develop novel approaches for knowledge extraction in those contexts demanding some additional flexibility in data representation.
Duration: January 2015 – December 2017
Budget: 69,900 €
The Project iNsPIrED (New Problems In knowlEdge Discovery) has the main objective of developing new knowledge discovery methodologies using genetic programming and other evolutionary computation approaches, as well as their application in several real-world problems.
Duration: January 2012 – December 2014
Budget: 63,526 €
The project KEEL-CTNC focuses on the extraction of knowledge based on genetic and evolutionary learning algorithms. KEEL integrates the construction and use of specific modules collecting the algorithms that make the state of the art on specific topics, such as module for fuzzy systems, learning algorithms module from low quality data (data vague and incomplete), unbalanced dataset learning algorithms, etc.
Duration: January 2009 – December 2011
Budget: 112,530 €
ATECSE project (Application of Knowledge Extraction Techniques over Educational Environments) is located in the context of the research area called Educational Data Mining (EDM) and consist of applying knowledge extraction techniques over the data generated/provided by educational domains. Our objective is to obtain new useful knowledge/information to the implicated agents/users (mainly, instructors/teacher and academic authorities).
Duration: January 2009 – January 2013
Budget: 172,743.68 €