Thesis proposals

Researchers

Research Group

Data Mining Techniques to Discover Knowledge in Databases

The main objective of this line of research lies in the development of data mining tools for knowledge discovery from large amounts of data, represented in multidimensional spaces and coming from different kinds of sources: e.g. design and implementation of parameter-free hierarchical clustering algorithms, which do not require any prior knowledge about the data, including the number of clusters to identify.

The scope of application of these tools is broad and varied, and the data can be found in a wide variety of research fields, including economics, psychology, climatology, biology, computational genomics, statistics, education, information retrieval, text mining, computer vision and machine learning, among many others.

Dr Germán Cobo

Mail: gcobo@uoc.edu