Welcome to Querying, Exploring and Mining Geo-textual Data
Description: The course will cover advanced topics in the management of geo-textual data.
Massive amounts of geo-textual data with both geo-spatial and textual elements
are being generated at an unprecedented scale. Examples of such data include
geo-tagged micro-blog posts, photos with both tags and geo-locations at social
photo sharing websites, as well as points of interest (POIs) and check-ins in
location-based social networks. Such data is often associated with temporal
information. The course will cover the following topics: (1) querying static
geo-textual Data, (2) querying geo-textual data streams, (3) exploring
geo-textual data, (4) location extraction, (5) user mobility behavior modeling,
and (6) location recommendation and prediction
Organizer: Professor Christian S. Jensen, e-mail: csj@cs.aau.dk
Lecturers: Associate Professor Gao Cong, Nanyang Technological University
ECTS: 2
Time: October 4-5, 2018
Place: Aalborg University
Zip code: 9220
City: Aalborg Øst
Number of seats: 30
Deadline: August 4, 2018
Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Christian Søndergaard Jensen