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Knowledge Discovery and Data Mining Laboratory

Istituto di Scienza e Tecnologie dell'Informazione, CNR
Dipartimento di Informatica, Università di Pisa

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Highlights

  • IEEE VAST Best Paper Award
    Our paper From movement tracks through events to places: Extracting and characterizing significant places from mobility data received the Best Paper...
  • VLDB Journal published
    Our paper "Unveiling the complexity of human mobility by querying and mining massive trajectory data" is available for download from the VLDB...
  • Google PhD Fellowship
    Michele Coscia has been assigned a Google PhD Fellowship in Social Computing. Related articles: Official Google Blog: Google PhD Fellowships go...
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Publications

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2010
Andrienko, G, Andrienko N, Giannotti F, Monreale A, Pedreschi D, Rinzivillo S.  2010.  A Generalisation-based Approach to Anonymising Movement Data. 13th AGILE conference on Geographic Information Science.
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2009
Andrienko, G, Andrienko N, Rinzivillo S, Nanni M, Pedreschi D, Giannotti F.  2009.  Visual Cluster Analysis of Large Collections of Trajectories. IEEE Visual Analytics Science and Tecnology (VAST 2009).
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2008
Rinzivillo, S, Pedreschi D, Nanni M, Giannotti F, Andrienko N, Andrienko G.  2008.  Visually driven analysis of movement data by progressive clustering. Information Visualization. 7:225-239.
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