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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

  • Privacy Risks Video
    The project ENFORCE supported the creation of a video showing the threats for sensitive information while using social and dating applications. The...
  • The new Privacy Observatory magazine is out!
    www.privacyobservatory.org
  • New ICDM Workshop: PINSODA.
    One of the most fascinating challenges of our time is understanding the complexity of the global interconnected society we inhabit. Today we have the...
  • 2nd MODAP-MOVE Summer School on Privacy-aware Social Mining
    A great opportunity to learn the most important and novel research on mobility data analysis and its implications on trustiness, privacy, ethics and...
  • Paper accepted at UrbComp (KDD 2012 Workshop).
    Title: Efficient distributed computation of human mobility aggregates through User Mobility Profiles. Authors: Mirco Nanni, Roberto Trasarti, Giulio...
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Events

  • KDD lab seminar - DEMON: Uncovering Overlapping Communities with a Local-First Approach
    23 April 2013 - 3:00pm
  • Mobility Data Analysis and Mining: Understanding Human Movement Patterns from Trajectory Data
    8 March 2011 - 3:00pm
  • Looking at data through the eyes of a designer
    4 March 2011 - 4:00pm
  • Looking at data through the eyes of a designer
    4 March 2011 - 3:00pm
  • PhD Workshop 2011
    17 January 2011 - 9:00am - 7:30pm
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Publications

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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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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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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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