Socialized Gaussian Process model for human behavior prediction in a health social network

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2012, Pages 1110-1115

  Shen, Yelong ^a   Sun, Junfeng ^b   Jin, Ruoming ^a   Piniewski, Brigitta ^c   Dou, Dejing ^d   Chowdhury, Nafisa ^d   Kil, David ^e  

^a KENT STATE UNIVERSITY   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c PeaceHealth Laboratories   (United States)

^d Computer and Information Science ^*  (United States)

^e HealthMantic Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY LEVELS; BASELINE METHODS; CORRELATION FACTORS; EXPERIMENTAL EVALUATION; GAUSSIAN PROCESS MODELS; GAUSSIAN PROCESSES; HUMAN BEHAVIOR MODELING; HUMAN BEHAVIORS; PERSONAL BEHAVIOR; PREDICTION ACCURACY; SOCIAL NETWORKS; UNIFIED MODEL;

DATA MINING; FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); SOCIAL NETWORKING (ONLINE); SOCIAL SCIENCES;

BEHAVIORAL RESEARCH;

EID: 84874030496     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.94     Document Type: Conference Paper

References (7)

1. Barry C. Arnod and C. A. Robertson. Autoregressive logistical regression. Journal of Applied Probabilty, 26:524-531, 1989.
2. Nicholas A. Christakis and James H. Fowler. The spread of obesity in a large social network over 32 years. New England Journal of Medicine, 357(4):370-379, 2007.
3. Robert G. Fichman and Chris F. Kemerer. The illusory diffusion of innovation: An examination of assimilation gaps. Information Systems Research, 10:255-275, 1999.
4. Junming Huang, Xue-Qi Cheng, Hua-Wei Shen, Tao Zhou, and Xiaolong Jin. Exploring social influence via posterior effect of word-of-mouth recommendations. In Proceedings of the fifth ACM international conference on Web search and data mining, WSDM '12, pages 573-582, New York, NY, USA, 2012. ACM.
5. Malte Kuss and Carl Edward Rasmussen. Assessing approximate inference for binary gaussian process classification. J. Mach. Learn. Res., 6:1679-1704, December 2005.
6. Wei Pan, Manuel Cebrian, Wen Dong, Taemie Kim, James Fowler, and Alex Pentland. Modeling dynamical influence in human interaction patterns. Work, abs/1009.0:19, 2010.
7. David H. Stern, Ralf Herbrich, and Thore Graepel. Matchbox: large scale online bayesian recommendations. In Proceedings of the 18th international conference on World wide web, WWW '09, pages 111-120, New York, NY, USA, 2009. ACM.