R. J. Almeida, M. Lesot, B. Bouchon-meunier, U. Kaymak, and G. Moyse, Linguistic Summaries of Categorical Time Series Patient Data, Proc. of FUZZ-IEEE, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00932850

F. E. Boran, D. Akay, and R. R. Yager, An overview of methods for linguistic summarization with fuzzy sets, Expert Systems with Applications, vol.61, pp.356-377, 2016.
DOI : 10.1016/j.eswa.2016.05.044

P. Cariñena, A. Bugarín, M. Mucientes, and S. B. Ameneiro, A language for expressing fuzzy temporal rules, Mathware & soft computing, vol.7, issue.2, pp.213-227, 2000.

R. Castillo-ortega, N. Marin, and D. Sanchez, Linguistic local change comparison of time series, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp.2909-2915, 2011.
DOI : 10.1109/FUZZY.2011.6007409

R. Dijkman and A. Wilbik, Linguistic summarization of event logs ??? A practical approach, Information Systems, vol.67, pp.114-125, 2017.
DOI : 10.1016/j.is.2017.03.009

R. George and R. Srikanth, Data summarization using genetic algorithms and fuzzy logic, Genetic Algorithms and Soft Computing, pp.599-611, 1996.

M. Gyssens and L. V. Lakshmanan, A foundation for multi-dimensional databases, Proc of VLDB, pp.106-115, 1997.

J. Kacprzyk, A. Wilbik, and S. Zadro?-zny, Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets and Systems, pp.1485-1499, 2008.

J. Kacprzyk and R. Yager, ???Softer??? optimization and control models via fuzzy linguistic quantifiers, Information Sciences, vol.34, issue.2, pp.157-178, 1984.
DOI : 10.1016/0020-0255(84)90022-7

J. Kacprzyk and R. Yager, LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC, International Journal of General Systems, vol.1, issue.2, pp.133-154, 2001.
DOI : 10.1007/978-3-7908-1873-4

J. Kacprzyk and S. Zadro?-zny, On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts, Recent Research Issues on the Management of Fuzziness in Databases, pp.67-81, 2000.
DOI : 10.1007/978-3-7908-1845-1_4

J. Kacprzyk and S. Zadro?-zny, Protoforms of linguistic data summaries: Towards more general natural-language-based data mining tools, Soft Computing Systems, pp.417-425, 2002.

J. Kacprzyk and S. Zadro?-zny, Linguistic summarization of data sets using association rules, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., pp.702-707, 2003.
DOI : 10.1109/FUZZ.2003.1209449

J. Kacprzyk and S. Zadro?-zny, Derivation of Linguistic Summaries is Inherently Difficult: Can Association Rule Mining Help?, Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pp.291-303, 2013.
DOI : 10.1007/978-3-642-30278-7_23

G. Moyse, M. Lesot, and B. Bouchon-meunier, Linguistic summaries for periodicity detection based on mathematical morphology, 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI), pp.106-113, 2013.
DOI : 10.1109/FOCI.2013.6602462

URL : https://hal.archives-ouvertes.fr/hal-00932852

D. Pilarski, LINGUISTIC SUMMARIZATION OF DATABASES WITH QUANTIRIUS: A REDUCTION ALGORITHM FOR GENERATED SUMMARIES, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.18, issue.03, pp.305-331, 2010.
DOI : 10.1016/0898-1221(83)90013-5

D. Rasmussen and R. Yager, Finding fuzzy and gradual functional dependencies with summarySQL. Fuzzy Sets and Systems, pp.131-142, 1999.

E. H. Ruspini, A new approach to clustering, Information and Control, vol.15, issue.1, pp.22-32, 1969.
DOI : 10.1016/S0019-9958(69)90591-9

G. Smits and O. Pivert, Linguistic and graphical explanation of a clusterbased data structure, Scalable Uncertainty Management, pp.186-200, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01186582

G. Smits, R. R. Yager, and O. Pivert, Interactive data exploration on top of linguistic summaries, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.1-8, 2017.
DOI : 10.1109/FUZZ-IEEE.2017.8015391

URL : https://hal.archives-ouvertes.fr/hal-01502871

A. Wilbik and R. M. Dijkman, On the generation of useful linguistic summaries of sequences, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.555-562, 2016.
DOI : 10.1109/FUZZ-IEEE.2016.7737736

A. Wilbik and J. Kacprzyk, Towards an efficient generation of linguistic summaries of time series using a degree of focus, Proc. of the 28th North American Fuzzy Information Processing Society Annual Conf., NAFIPS'09, 2009.

A. Wilbik, U. Kaymak, and R. Dijkman, A method for improving the generation of linguistic summaries, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017.
DOI : 10.1109/FUZZ-IEEE.2017.8015752

R. Yager, A new approach to the summarization of data, Information Sciences, vol.28, issue.1, pp.69-86, 1982.
DOI : 10.1016/0020-0255(82)90033-0

X. Yang, C. M. Procopiuc, and D. Srivastava, Summarizing relational databases, Proceedings of the VLDB Endowment, pp.634-645, 2009.
DOI : 10.14778/1687627.1687699

C. Yu and H. Jagadish, Schema summarization, Proc. of the 32nd Int. Conf. on Very Large Data Bases, pp.319-330, 2006.

L. A. Zadeh, Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, pp.111-127, 1997.