M. Satyanarayanan, Pervasive computing: vision and challenges, IEEE Personal Communications, vol.8, issue.4, pp.10-17, 2001.
DOI : 10.1109/98.943998

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.6338

R. Mayrhofer, Context Prediction based on Context Histories: Expected Benefits, Issues and Current State-of-the-Art, Proc. of ECHISE '05, pp.31-36, 2005.

D. Salber, A. K. Dey, and G. D. Abowd, The context toolkit, Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit, CHI '99, 1999.
DOI : 10.1145/302979.303126

S. Zaplata, C. P. Kunze, and W. Lamersdorf, Context-based Cooperation in Mobile Business Environments, Business & Information Systems Engineering, vol.45, issue.4, 2009.
DOI : 10.1007/s12599-009-0060-5

G. Chen and D. Kotz, A Survey of Context-Aware Mobile Computing Research, 2000.

A. Jameson and F. Wittig, Leveraging Data About Users in General in the Learning of Individual User Models, Proc. of. 17th Int. Joint Conf. on Artificial Intelligence, pp.1185-1192, 2001.

S. Sigg, Development of a Novel Context Prediction Algorithm and Analysis of Context Prediction Schemes, 2008.

M. Satyanarayanan, Fundamental challenges in mobile computing, Proceedings of the fifteenth annual ACM symposium on Principles of distributed computing , PODC '96, pp.1-7, 1996.
DOI : 10.1145/248052.248053

A. K. Dey and G. D. Abowd, Towards a Better Understanding of Context and Context- Awareness, Georgia Institute of Technology, 1999.

A. L. Symeonidis and P. A. Mitkas, Agent Intelligence through Data Mining, 2005.

R. Mayrhofer, An Architecture for Context Prediction, 2004.
DOI : 10.1002/sec.1028

J. Petzold, State Predictors for Context Prediction in Ubiquitous Systems, 2005.

J. Petzold, Hybrid Predictors for Next Location Prediction, Ubiquitous Intelligence and Computing, pp.125-134, 2006.
DOI : 10.1007/11833529_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.5439

M. Hilario, An Overview Of Strategies For Neurosymbolic Integration, Connectionist-Symbolic Integration, pp.13-35, 1995.

T. G. Dietterich, Ensemble Methods in Machine Learning, Proceedings of MCS '00, pp.1-15, 2000.
DOI : 10.1007/3-540-45014-9_1

C. Borgelt and R. Kruse, Graphical Models -Methods for Data Analysis and Mining, 2002.

J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 1988.

P. Dagum, A. Galper, and E. Horvitz, Dynamic Network Models for Forecasting, Proceedings of UAI '92, pp.41-48, 1992.
DOI : 10.1016/B978-1-4832-8287-9.50010-4

URL : http://arxiv.org/abs/1303.5396

F. V. Jensen, Bayesian Networks and Decision Graphs, 2001.
DOI : 10.1007/978-0-387-68282-2