Spatio-Temporal Data Mining for Location-Based Services

Time: Tuesday 11th March, 14.00 pm
Place: Aalborg University, Selma Lagerløfs vej 300, room 0.2.13

In partial fulfillment of the terms for obtaining the Ph.D. degree, Gyõzõ Gidófalvi will give a lecture on the following subject:
“Spatio-Temporal Data Mining for Location-Based Services”

Location-Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. Such knowledge can be derived by analyzing the location data of users. Such data contain two unique dimensions, space and time, which need to be analyzed. The objectives of the presented thesis are three-fold. First, to extend popular data mining methods to the spatio-temporal domain. Second, to demonstrate the usefulness of the extended methods and the derived knowledge in promising LBS examples. Finally, to eliminate privacy concerns in connection with spatio-temporal data mining by devising systems for privacy-preserving location data collection and mining.
Read the complete abstract.

Members of the assessment committee are Professor Xiaofang Zhou, School of Information Technology and Electrical Engineering, University of Queensland, Australia, Group Leader Agnès Voisard, Fraunhofer ISST, Germany, and Associate Professor Simonas Saltenis, Chairman, Aalborg University, Denmark.

All interested parties are welcome. After the defense the department is hosting a small reception in the cluster of group 3.