P. E. Kourouthanassis, G. M. Giaglis, and A. Vrehopoulos, Enhancing user experience through pervasive information systems: The case of pervasive retailing, International Journal of Information Management, vol.27, issue.5, pp.319-335, 2008.
DOI : 10.1016/j.ijinfomgt.2007.04.005

A. K. Dey, Understanding and using context. Personal and ubiquitous computing, pp.4-7, 2001.
DOI : 10.1007/s007790170019

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.9786

A. Jaffal, M. Kirsch-pinheiro, and B. Le-grand, Unified and Conceptual Context Analysis in Ubiquitous Environments, 8th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp.48-55, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01061023

M. Baldauf, S. Dustdar, and F. Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, vol.2, issue.4, pp.263-277
DOI : 10.1504/IJAHUC.2007.014070

S. Greenberg, Context as a Dynamic Construct, Human-Computer Interaction, vol.3, issue.1, pp.257-268, 2001.
DOI : 10.1023/A:1008719814496

U. Fayyad, G. Piatetsky-shapiro, and P. Smyth, From data mining to knowledge discovery in databases, pp.37-54, 1996.

M. S. Chen, J. Han, and P. S. Yu, Data mining: an overview from a database perspective, IEEE Transactions on Knowledge and Data Engineering, vol.8, issue.6, pp.866-883
DOI : 10.1109/69.553155

A. Ramakrishnan, D. Preuveneers, and Y. Berbers, Enabling Self-learning in Dynamic and Open IoT Environments, 5th Int. Conference on Ambient Systems, Networks and Technologies (ANT-2014), Procedia Computer Science, pp.207-214
DOI : 10.1016/j.procs.2014.05.416

U. Priss, Formal concept analysis in information science, Annual Review of Information Science and Technology, vol.4, issue.3, pp.521-543, 2006.
DOI : 10.1002/aris.1440400120

R. Wille, Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies, Formal Concept Analysis, pp.1-33, 2005.
DOI : 10.1007/11528784_1

R. G. Pensa, C. Leschi, J. Besson, and J. F. Boulicaut, Assessment of discretization techniques for relevant pattern discovery from gene expression data, 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics, pp.24-30, 2004.

J. Ma, W. X. Zhang, and S. Cai, Variable Threshold Concept Lattice and Dependence Space, Proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, pp.109-118, 2006.
DOI : 10.1007/11881599_13

W. Zhou, Z. Liu, Y. Zhao, and Z. Xie, Clustering-based reduction algorithm on the structure of fuzzy concept lattices, 5th International Conference Formal Concept Analysis, ICFCA07, pp.131-145, 2007.

M. Kaytoue, S. Duplessis, and A. Napoli, Using formal concept analysis for the extraction of groups of co-expressed genes, pp.439-449, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00600212

B. Ganter and R. Wille, Formal Concept Analysis, 1999.

M. Kaytoue, S. Duplessis, S. O. Kuznetsov, and A. Napoli, Two FCA-Based Methods for Mining Gene Expression Data, Formal Concept Analysis, pp.251-266, 2009.
DOI : 10.1007/978-3-642-01815-2_19

URL : https://hal.archives-ouvertes.fr/inria-00600200