Advanced Data MIning Research And (Business intelligence | Bioinformatics | Big Data) LEarning
◉ Research lines
This research line consists in designing new algorithms for construction strong classifiers from the combination of a set of weak classifiers.
Data mining has its roots in artificial intelligence and statistics, is the process of extracting hidden patterns from data solving forecasting, classification and clustering problems.
Instance and attribute selection
Reduce the number of instances and characteristics of a data set to accelerate processing without affecting the information obtained. Extend the methods used in the area of classification to others like regression and multi-label classification.
Parallelization of data mining algorithms for their adaptation to the processing of large volumes of data.
Bioinformatics is the application of data mining and data analysis techniques to manage and analyse biological data. Common problems in bioinformatics include sequence aligning and gene prediction.
Data mining applications in Software Engineering
Reduce software maintenance costs by improving the quality of software processes and products through the application of data mining.
Applied Visualization Techniques
Designing new methods for the graphic representation of Multi-dimensional data in order to obtain a clearer idea of its structure, but also 3D modelling and Virtual Reality for the diffusion of Historical-Artistic and Archaeological Heritage