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Nov 022012

We are pleased to announce that our lab has been awarded a MIUR-PRIN grant, named “ARS Techno-media”, on algorithms for big data arising from Web and Social Networks. These data are challenging because they are derived from activities with an extreme level of detail, are variegate in their nature (structured or not), and typically consists of short, fragmented and noisy texts (e.g. micro-blogs, tweets, news,…), so they require innovative algorithms for their storage, analysis, access and communication in order to make these data used efficiently and efficaciously in several kinds of (social-network) applications which are spreading daily over our PCs, smart-phones and tablets. We will mainly concentrate on 3 issues: storage and indexing of these massive datasets, efficient and efficacious mining of these heterogeneous datasets, the study of Mobile Ad-hoc Social Networks (MASN).

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