Clustering Individual Transactional Data for Masses of Users
Riccardo Guidotti (University of Pisa);Anna Monreale (University of Pisa);Mirco Nanni (KDD-Lab ISTI-CNR Pisa);Fosca Giannotti (ISTI-CNR);Dino Pedreschi (University of Pisa)
Abstract
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. In this paper we focus on the problem of clustering individual transactional data for a large mass of users. Transactional data is a very pervasive kind of information that is collected by several services, o
