Machine Learning of Probabilities with Applications to Web Portals and Medical Diagnostics

The main aim of the project is to take advantage of the complementary experience on machine learning issues the two groups posses and produce the synergetic effect. The exchange of knowledge, experience and know-how is certainly very important here. In following we will indicate present expertise of Portugeese and Slovene side with P and S, respectively. 

The scientific goals of the project are to pursue certain topics of machine learning and data mining, in particular:

• investigate current machine learning approaches to learning probabilities (P), improve them with ensemble techniques (S) and extend them to new application areas in medicine, economy and analysis of web data (P and S)
• develop incremental mining techniques for selection of useful information in data streams (P) and test the algorithms on the problem of profiling web sites users (S)
• research and develop of innovative dimensionality reduction techniques for large databases (S) and their application on clikstream analysis (S) and in a web-based tutoring system (P).