R. Agrawal and R. Srikant, Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, p.314, 1995.
DOI : 10.1109/ICDE.1995.380415

J. Allen and L. Rabiner, A unied approach to short-time Fourier analysis and synthesis, Proc. of the IEEE, vol.65, issue.11, p.15581564, 1977.

C. Berberidis, I. P. Vlahavas, W. G. Aref, M. J. Atallah, and A. K. Elmagarmid, On the Discovery of Weak Periodicities in Large Time Series, PKDD'02, p.5161, 2002.
DOI : 10.1007/3-540-45681-3_5

S. Beucher and C. Lantuejoul, Use of watersheds in contour detection, Proc. of the Int. Workshop on image processing, 1979.

B. Bouchon-meunier and G. Moyse, Fuzzy Linguistic Summaries: Where Are We, Where Can We Go? In: CIFEr 2012, p.317324, 2012.

P. Cariñena, A. Bugarín, M. Mucientes, and S. Barro-ameneiro, A language for expressing fuzzy temporal rules, Mathware & soft computing, vol.7, issue.2, p.213227, 2000.

I. Castillo, C. Lévy-leduc, and C. Matias, Exact adaptive estimation of the shape of a periodic function with unknown period corrupted by white noise, Mathematical methods of statistics, vol.15, issue.2, p.146175, 2006.

T. C. Fu, A review on time series data mining, Engineering Applications of Artificial Intelligence, vol.24, issue.1, p.164181, 2011.
DOI : 10.1016/j.engappai.2010.09.007

D. Gerhard, Pitch Extraction and Fundamental Frequency: History and Current Techniques, 2003.

J. Kacprzyk, A. Wilbik, and S. Zadrozny, Linguistic summarization of time series using a fuzzy quantifier driven aggregation, Fuzzy Sets and Systems, vol.159, issue.12, pp.1485-1499, 2008.
DOI : 10.1016/j.fss.2008.01.025

J. Kacprzyk and R. R. Yager, Softer" optimization and control models via fuzzy linguistic quantiers, Information Sciences, vol.34, issue.2, p.157178, 1984.

J. Kacprzyk and S. Zadrozny, Protoforms of Linguistic Data Summaries: Towards More General Natural-Language-Based Data Mining Tools, Soft computing systems, p.417425, 2002.

J. Kacprzyk and S. Zadrozny, Computing With Words Is an Implementable Paradigm: Fuzzy Queries, Linguistic Data Summaries, and Natural-Language Generation, IEEE Transactions on Fuzzy Systems, vol.18, issue.3, p.461472, 2010.
DOI : 10.1109/TFUZZ.2010.2040480

B. Kedem, Spectral analysis and discrimination by zero-crossings, Proceedings of the IEEE, vol.74, issue.11, p.14771493, 1986.
DOI : 10.1109/PROC.1986.13663

S. Laxman and P. S. Sastry, A survey of temporal data mining, Sadhana, vol.21, issue.1???2, pp.173-198, 2006.
DOI : 10.1007/BF02719780

C. H. Lee, M. S. Chen, and C. R. Lin, Progressive partition miner: An ecient algorithm for mining general temporal association rules, IEEE Transactions on Knowledge and Data Engineering, vol.15, issue.4, p.10041017, 2003.

S. Ma and J. L. Hellerstein, Mining Partially Periodic Patterns With Unknown Periods From Event Stream, Proc. of the 17th Int. Conf. on Data Engineering, p.205214, 2001.
DOI : 10.1007/978-1-4613-0231-5_15

S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. on PAMI, vol.11, issue.7, p.674693, 1989.

H. Mannila, H. Toivonen, I. Verkamo, and A. , Discovery of Frequent Episodes in Event Sequences, Data Mining and Knowledge Discovery, vol.1, issue.3, p.259289, 1997.

N. Méger and C. Rigotti, Constraint-Based Mining of Episode Rules and Optimal Window Sizes, Proc. of the 8th European Conf. on Principles and Practice of Knowledge Discovery in Databases, p.313324, 2004.
DOI : 10.1007/978-3-540-30116-5_30

G. Moyse, M. J. Lesot, and B. Bouchon-meunier, Linguistic summaries for periodicity detection based on mathematical morphology, 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI), p.106113, 2013.
DOI : 10.1109/FOCI.2013.6602462

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

B. Ozden, S. Ramaswamy, and A. Silberschatz, Cyclic association rules, Proceedings 14th International Conference on Data Engineering, p.412421, 1998.
DOI : 10.1109/ICDE.1998.655804

L. Palmer, Coarse frequency estimation using the discrete Fourier transform (Corresp.), IEEE Transactions on Information Theory, vol.20, issue.1, p.104109, 1974.
DOI : 10.1109/TIT.1974.1055156

J. Serra, Introduction to mathematical morphology, Computer Vision, Graphics, and Image Processing, vol.35, issue.3, p.283305, 1986.
DOI : 10.1016/0734-189X(86)90002-2

L. Vincent and P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, p.583598, 1991.
DOI : 10.1109/34.87344

M. Vlachos, P. S. Yu, and V. Castelli, On Periodicity Detection and Structural Periodic Similarity, Proc. of the 5th SIAM Int. Conf. on Data Mining, p.449, 2005.
DOI : 10.1137/1.9781611972757.40

R. R. Yager, A new approach to the summarization of data, Information Sciences, vol.28, issue.1, p.6986, 1982.
DOI : 10.1016/0020-0255(82)90033-0

L. A. Zadeh, A computational approach to fuzzy quantiers in natural languages, Computers & Mathematics with Applications, vol.9, issue.1, p.149184, 1983.