STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016

Volumn , Issue , 2017, Pages

  Al Molegi, Abdulrahman ^a,b   Jabreel, Mohammed ^a,c   Ghaleb, Baraq ^d  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b University of Science and Technology   (Spain)

^c Hodiedah University   (Yemen)

^d EDINBURGH NAPIER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; RECURRENT NEURAL NETWORKS;

INTERNAL REPRESENTATION; MOBILITY PATTERN; MODEL PERFORMANCE; MODELING OPERATION; MOVEMENT-BASED; SPACE AND TIME; SPACE-TIME FEATURES; STATE OF THE ART;

FORECASTING;

EID: 85015981385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSCI.2016.7849919     Document Type: Conference Paper

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