Machine Learning

Location-based Services

Location-based Services (LBS) are services offered through a mobile device that take into account the geographical location of the user. The amount of location-based data collected by users is growing every second and is becoming difficult to manage. In this video, we explain and present solutions to such problems.

Apps:

Publications:

R. Mariescu-Istodor and P. Fränti, "CellNet: Inferring Road Networks from GPS Trajectories", ACM Trans. on Spatial Algorithms and Systems, 4 (3), 8:1-22, September 2018.

P. Fränti, R. Mariescu-Istodor and K. Waga, "Similarity of mobile users based on sparse location history", Int. Conf. Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, 593-603, June 2018.

R. Mariescu-Istodor and P. Fränti, "Grid-based method for GPS route analysis for retrieval", ACM Trans. on Spatial Algorithms and Systems, 3 (3), 8:1-28, September, 2017.

P. Fränti, R. Mariescu-Istodor and L. Sengupta, "O-Mopsi: mobile orienteering game for sightseeing, exercising and education", ACM Trans. on Multimedia, Computing, Communications, and Applications, 13 (4), 56:1-25, August 2017.

R. Mariescu-Istodor and P. Fränti, "Gesture input for GPS route search", Joint Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR 2016), Merida, Mexico, LNCS 10029, 439-449, November 2016.

K. Waga, A. Tabarcea, M. Chen and P. Fränti, "Detecting movement type by route segmentation and classification", IEEE Int. Conf. on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'12), Pittsburgh, USA, 2012.

K. Waga, A. Tabarcea and P. Fränti, "Recommendation of points of interest from user generated data collection", IEEE Int. Conf. on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'12), Pittsburgh, USA, 2012.

APIs:

Courses:

Location-aware mobile application development
The course begins with a background of location-aware applications including positioning and mapping. It then changes focus on app development using web technologies (HTML and Javascript). Necessary server-side solutions are covered and provided via API. Case studies of popular apps are covered during the last part of the lecture.

Location-aware machine intelligence
The course focuses on application of machine intelligence on location-aware applications. Selected research topics include (but not limited to) the following topics: search engines, recommendation systems, web mining, event detection, clustering, social networks, GPS tracectory analysis, road network extraction.