Data Science

Cluster

The group deals with several research themes that can be summed up as follows:

The analysis and visualisation of networks. The approach aims to integrate mathematical aspects of a formal type with the experimentation on instances taken from the world of real networks.
The use of data analytics techniques for assessing the effectiveness of information retrieval systems.
The design, development and implementation of compression algorithms and data structures. In particular, the development of online algorithms for analysing and researching in strings and in graphs. Indexing and compression.
The use of machine learning algorithms for classification (categorial data) and the regression (numerical data), with particular interest being paid to mining and sequence analysis.
The use of multi-objective optimisation techniques through genetic algorithms in the domain of data mining.

Rating and ranking metrics in the sports context, with possible applications to bibliometric networks.
valutazione, ingegnerizzata ed efficiente, dell'efficacia dell'information retrieval, al fine di risparmiare risorse senza limitare l'affidabilità della valutazione
Study and definition of new effectiveness metrics, and formalisation of the properties of existing metrics.
Crowdsourcing (outsourcing to non-structured and non-organised masses) for the retrieval of relevance judgements.
algoritmi e strutture dati per la rappresentazione di collezioni di stringhe mediante string-graphs e loro evoluzioni. Compressione e ri-compressione di stringhe, collezioni di stringhe, grafi. Rappresentazioni numeriche
definizione, implementazione e verifica formale di algoritmi di data mining che garantiscano la privacy differenziale. Studio di meccanismi che garantiscano la protezione dei dati in un contesto distribuito
Design of decision support systems, in the context of contact centres, with advanced functionalities for data mining and data analytics.

PE1_17 Mathematical aspects of computer science
PE6_10 Web and information systems, data management systems, information retrieval and digital libraries, data fusion
PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_6 Algorithms and complexity, distributed, parallel and network algorithms, algorithmic game theory
PE6_13 Bioinformatics, bio-inspired computing, and natural computing