Research Domain
Algorithmic Data Analytics

Research Leaders
Francesco Bonchi

Dealing with the Big Data revolution does not only require new computational paradigms and platforms: due to the semantic richness of the data, its dynamicity and streaming nature, and the expressiveness of the new patterns sought, classic data mining algorithms are often not adequate. The mission of the Algorithmic Data Analytics group is to develop novel algorithms and multidisciplinary methods to analyze very large data, gaining new insights and actionable knowledge that can be exploited for innovative applications. In this regard, the activity of the Algorithmic Data Analytics group can be seen as transversal and orthogonal to the other lines of research at ISI foundation, as part of the group mission is to help the other vertical projects with the new algorithmic challenges they might face.

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Distance-Based Community Search (Invited Talk Extended Abstract)

F. Bonchi

In Proceedings of International Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2019) Lecture Notes in Computer Science, 11376 (2019)

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Scalable dynamic graph summarization

I. Tsalouchidou, G. De Francisci Morales, F. Bonchi, R. Baeza-Yates

Big Data (Big Data), 2016 IEEE International Conference on (2018)

Finding events in temporal networks: Segmentation meets densest-subgraph discovery

P. Rozenshtein, F. Bonchi, A. Gionis, M. Sozio, N. Tatti

2018 IEEE International Conference on Data Mining (ICDM) 397-406 (2018)

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