Clustering Individual Transactional Data for Masses of Users @ KDD2017

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Clustering Individual Transactional Data for Masses of Users

Mining a large number of datasets recording human activities for making sense of individual data is the key enabler of a new wave of personalized knowledge-based services. The video above is a promotional video for a paper that will be presented at KDD2017 in Halifax. In this paper we focus on the problem of clustering individual transactional data for a large mass of users. The authors of the paper are Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi. The video has been produced by Daniele Fadda, Viola Bachini, Michela Natilli and Lorenzo Chini, with the participation of the authors of the paper.
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