Skip to content

Recent Advances in Mobility Data Mining

February 25, 2011

GIScience Colloquium, University of Zurich-Irchel, April 12, 2011

Prof. Yannis Theodoridis

“A flood of data pertinent to moving objects is available today, and will be more in the near future, particularly due to the automated collection of telecom data from mobile phones and other location-aware devices. Such wealth of data, referenced both in space and time, may enable novel applications of high societal and economic impact, provided that the discovery of consumable and concise knowledge out of these raw data is made possible. In this talk, we will overview recent research activities on mobility data mining and knowledge discovery. Frequent pattern mining, trajectory clustering, outlier detection, sampling, are among the techniques that will be presented. Since data privacy raises concerns, some ideas on privacy-preserving mobility data mining will be also discussed.”

3 Comments leave one →
  1. Marshall Kirkpatrick permalink
    February 26, 2011 3:35 pm

    Just 1 pg PDF? :(

  2. February 28, 2011 5:44 am

    Dear Marshall, please be patient :-) I will provide a link to lecture handouts and related material just after the talk.

    Regards, Yannis

  3. April 15, 2011 4:44 am

    As promised, the handouts of the talk are available here: http://infolab.cs.unipi.gr/tutorials.html (see Past Versions).

    Regards, Yannis

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 150 other followers