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This study uses new powerful data mining methods in order to observe students' personal information space organization strategies in the personal Web space allocated to them on the university servers. The study included 518 users with a personal information space of at least 10 files. Data regarding their personal information space were collected, and a clustering algorithm was applied in order to identify profiles of students' organization strategies. Four clusters were found, refining the classical piling/filing classification: piling, one folder filing, small folders filing and big folder filing. Also, association was found between these profiles and personal information space size. A discussion of these results is provided.