Recent Advances in Mobility Data Mining

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.”

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