A Tool for Classification of Sequential Data

نویسندگان

  • Giacomo Kahn
  • Yannick Loiseau
  • Olivier Raynaud
چکیده

Classification of sequential data (data obtained from series of actions in chronological order) has many applications in security, marketing or ergonomy. In this paper, we present a tool for classification of sequential data. We introduce a new clean dataset of web-browsing logs, and study the case of implicit authentification from web-browsing. We then detail more of the functioning of the tool and some of its parameters.

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تاریخ انتشار 2016