Modelling heterogeneous location habits in human populations for location prediction under data sparsity

UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2013, Pages 469-478

  McInerney, James ^a   Zheng, Jiangchuan ^b   Rogers, Alex ^a   Jennings, Nicholas R ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Graphical models; Human activity inference; Human behavior learning; Mobile phone sensing

Indexed keywords

GRAPHICAL MODEL; HUMAN ACTIVITY INFERENCES; HUMAN BEHAVIOR LEARNING; HUMAN POPULATION; LOCATION PREDICTION; MOBILE PHONE SENSING; POPULATION MODELLING; SPATIAL PARAMETERS;

BAYESIAN NETWORKS; E-LEARNING; FORECASTING; SEMANTICS; UBIQUITOUS COMPUTING;

BEHAVIORAL RESEARCH;

EID: 84885217443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493437     Document Type: Conference Paper

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