Research interests
Data Mining and Knowledge Discovery: statistical and logical foundations, predictive and descriptive methods (induction of decision and model trees, rule learning, association rule discovery, causal models, clustering), model evaluation, visual approaches. Inductive logic programming and Multi-relational Data Mining: recursive theory learning, generalization models and theory revision, relational learning from numeric data, relational regression, relational association rules and emerging patterns, relational clustering, propositionalization, relational transductive learning. Symbolic data analysis: dissimilarity measures, flexible matching, classification. Spatial Data Mining: feature extraction from maps, map interpretation, spatial classification/regression/association/clustering. Document image analysis and recognition: applications of machine learning and data mining to blocks classification, document classification, document understanding, layout analysis, reading order detection. Web Mining: feature selection, hierarchical and multidimensional classification of web documents. Bioinformatics: applications of data mining methods to biomedial literature, information extraction from biomedical texts. Network Traffic Analysis: feature extraction, anomaly detection.

He is author of more than 150 papers which have been published in international journals and refereed Conference/Workshop Proceedings.