Research Projects
Mining data with more flexible representations
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.
Status: In progress
Duration: January 2015 - December 2018
Budget: 69,900 €
New Challenges in Knowledge Discovery: A Genetic Programming Approach
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.
Status: Finished
Duration: January 2012 - December 2014
Budget: 63,526 €
KEEL: Current Trends and New Challenges
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.
Status: Finished
Duration: January 2009 - December 2011
Budget: 112,530 €
Application of Knowledge Extraction Techniques over Educational Environments
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).
Status: Finished
Duration: January 2009 - January 2013
Budget: 172,743.68 €