Homogeneity and stability in conceptual analysis

CEUR Workshop Proceedings

Volumn 959, Issue , 2011, Pages 251-263

  Brito, Paula ^a   Polaillon, Géraldine ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b AUTOMATIC CONTROL DEPARTMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CONCEPTUAL ANALYSIS; CROSS VALIDATION; FINITE SET; GALOIS LATTICES; GENERALIZATION OPERATORS; INTERVAL DATA; MINIMUM OPERATOR;

INFORMATION ANALYSIS;

EID: 84924175889     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Z. Assaghir, M. Kaytoue, N. Messai and A. Napoli (2009). On the mining of numerical data with Formal Concept Analysis and similarity. In Proc. Société Francophone de Classification, pp. 121-124.
2. Barbut, M. and B. Monjardet (1970). Ordre et Classification, Algèbre et Combinatoire, Tomes I et II. Paris: Hachette.
3. Brito, P. (1994). Order structure of symbolic assertion objects. IEEE Transactions on Knowledge and Data Engineering 6(5), 830-835.
4. Brito, P. and G. Polaillon (2005). Structuring probabilistic data by Galois lattices. Math. & Sci. Hum. /Mathematics and Social Sciences 169(1), 77-104.
5. Ganter, B. and S.O. Kuznetsov (2001). Pattern structures and their projections. In G. Stumme and H. Delugach (Eds.), Proc. 9th Int. Conf. on Conceptual Structures, ICCS'01, Lecture Notes in Artificial Intelligence, Vol. 2120, pp. 129-142.
6. Ganter, B. and R. Wille (1999). Formal Concept Analysis, Mathematical Foundations. Berlin: Springer.
7. Kaytoue, M., S.O. Kuznetsov, A. Napoli and S. Duplessis (2011). Mining gene expression data with pattern structures in formal concept analysis. Information Sciences, Volume 181, Issue 10, 1989-2001.
8. Kuznetsov, S. (2007). On stability of a formal concept. Annals of Mathematics and Artificial Intelligence 49(1-4), 101-115.
9. Noirhomme-Fraiture, M. and P. Brito (2011). Far beyond the classical data models: Symbolic Data Analysis. Statistical Analysis and Data Mining 4(2), 157-170.
10. Pernelle, N., M.-C. Rousset, and V. Ventos (2001). Automatic construction and refinement of a class hierarchy over multi-valued data. In L. De Raedt and A. Siebes (Eds.), Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science, pp. 386-398.
11. Pfaltz, J. (2007). Representing numeric values in concept lattices. In J. Diatta, P. Eklund and M. Liquiere (Eds.), Proc. Fifth International Conference on Concept Lattices and Their Applications, pp. 260-269.
12. Roth, C., S. Obiedkov and D. Kourie (2008). On succint representation of knowledge community taxonomies with Formal Concept Analysis. International Journal of Foundations of Computer Science 19(2), 383-404.