Predicting future locations using clusters' centroids

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2007, Pages 368-371

  Elnekave, Sigal ^a   Last, Mark ^a   Maimon, Oded ^b  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

clustering; moving objects; prediction; spatio temporal data mining

Indexed keywords

CLUSTER CENTROIDS; CLUSTERING; DATA POINTS; MOBILE OBJECTS; MOVEMENT PATTERN; MOVING OBJECTS; OBJECT LOCATION; PRECISION AND RECALL; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL DATA MINING; TECHNOLOGY ADVANCES;

GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS;

FORECASTING;

EID: 79959662638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1341012.1341079     Document Type: Conference Paper

References (6)

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3. Elnekave S., Last M., Maimon O. "Incremental Clustering of Mobile Objects". STDM07, IEEE, 2007.
4. Jensen C. S., Lahrmann H., Pakalnis S., and Runge J. "The INFATI Data". TimeCenter Technical Report. 2004
5. Krumm J. and Horvitz E., "Predestination: Inferring Destinations from Partial Trajectories", UbiComp 2006.
6. Tao Y, Faloutsos C, Papadias D, Liu B. "Prediction and indexing of moving objects with unknown motion patterns". SIGMOD. ACM Press, 2004. 611-622