M. Atzmüller and F. Puppe, Sd-map-A fast algorithm for exhaustive subgroup discovery, ECMLPKDD. pp, pp.6-17, 2006.

T. Baba, A. Kikuchi, K. Hirayama, Y. Nishio, Y. Hosokai et al., Severe olfactory dysfunction is a prodromal symptom of dementia associated with parkinson's disease: a 3 year longitudinal study, Brain, vol.135, issue.1, pp.161-169, 2012.

S. D. Bay and M. J. Pazzani, Detecting group differences: Mining contrast sets, Data mining and knowledge discovery, vol.5, issue.3, pp.213-246, 2001.

A. A. Bendimerad, M. Plantevit, and C. Robardet, Mining exceptional closed patterns in attributed graphs, Knowl. Inf. Syst, vol.56, issue.1, pp.1-25, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01625007

G. Bosc, J. Golebiowski, M. Bensafi, C. Robardet, M. Plantevit et al., Local subgroup discovery for eliciting and understanding new structure-odor relationships, DS. pp, pp.19-34, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01346660

I. Croy, V. Bojanowski, and T. Hummel, Men without a sense of smell exhibit a strongly reduced number of sexual relationships, women exhibit reduced partnership security-a reanalysis of previously published data, Biological psychology, vol.92, issue.2, pp.292-294, 2013.

G. Dong and J. Li, Efficient mining of emerging patterns: Discovering trends and differences, pp.43-52, 1999.
DOI : 10.1145/312129.312191

L. Downar and W. Duivesteijn, Exceptionally monotone models-the rank correlation model class for exceptional model mining, Knowledge and Information Systems, vol.51, issue.2, pp.369-394, 2017.
DOI : 10.1109/icdm.2015.81

URL : https://biblio.ugent.be/publication/8519651/file/8519860.pdf

W. Duivesteijn, A. J. Feelders, and A. Knobbe, Exceptional model mining. Data Mining and Knowledge Discovery, vol.30, pp.47-98, 2016.
DOI : 10.1007/s10618-015-0403-4

URL : http://www.cs.uu.nl/groups/ADA/pubs/2008/exceptional_model_mining-leman%2Cfeelders%2Cknobbe.pdf

A. Fournel, C. Ferdenzi, C. Sezille, C. Rouby, and M. Bensafi, Multidimensional representation of odors in the human olfactory cortex, Human Brain Mapping, vol.37, pp.2161-2172, 2016.

K. Friston, J. Ashburner, C. D. Frith, J. B. Poline, J. D. Heather et al., Spatial registration and normalization of images, vol.3, pp.165-189, 1995.
DOI : 10.1002/hbm.460030303

K. J. Friston, A. P. Holmes, K. J. Worsley, J. P. Poline, C. D. Frith et al., Statistical parametric maps in functional imaging: a general linear approach, Human brain mapping, vol.2, issue.4, pp.189-210, 1994.
DOI : 10.1002/hbm.460020402

J. A. Gottfried, J. S. Winston, and R. J. Dolan, Dissociable codes of odor quality and odorant structure in human piriform cortex, Neuron, vol.49, issue.3, pp.467-479, 2006.
DOI : 10.1016/j.neuron.2006.01.007

URL : https://doi.org/10.1016/j.neuron.2006.01.007

H. Grosskreutz, B. Lang, and D. Trabold, A relevance criterion for sequential patterns, ECMLPKDD. pp, pp.369-384, 2013.
DOI : 10.1007/978-3-642-40988-2_24

H. Grosskreutz and S. Rüping, On subgroup discovery in numerical domains, Data Min. Knowl. Discov, vol.19, issue.2, pp.210-226, 2009.
DOI : 10.1007/978-3-642-04180-8_15

URL : https://link.springer.com/content/pdf/10.1007%2F978-3-642-04180-8_15.pdf

J. D. Howard, J. Plailly, M. Grueschow, J. D. Haynes, and J. A. Gottfried, Odor quality coding and categorization in human posterior piriform cortex, Nature neuroscience, vol.12, issue.7, p.932, 2009.
DOI : 10.1038/nn.2324

URL : http://europepmc.org/articles/pmc2834563?pdf=render

M. Kaytoue, M. Plantevit, A. Zimmermann, A. Bendimerad, and C. Robardet, Exceptional contextual subgraph mining, Machine Learning, 2017.
DOI : 10.1007/s10994-016-5598-0

URL : https://hal.archives-ouvertes.fr/hal-01488732

W. Klösgen, Explora: A multipattern and multistrategy discovery assistant, Advances in Knowledge Discovery and Data Mining, pp.249-271, 1996.

N. Lavra?, B. Kav?ek, P. Flach, and L. Todorovski, Subgroup discovery with cn2-sd, Journal of Machine Learning Research, vol.5, pp.153-188, 2004.

M. Van-leeuwen and A. J. Knobbe, Diverse subgroup set discovery, Data Min. Knowl. Discov, vol.25, issue.2, pp.208-242, 2012.

D. Leman, A. Feelders, and A. Knobbe, Exceptional model mining, ECMLPKDD. pp, pp.1-16, 2008.

F. Lemmerich, M. Atzmueller, and F. Puppe, Fast exhaustive subgroup discovery with numerical target concepts, Data Min. Knowl. Discov, vol.30, issue.3, pp.711-762, 2016.
DOI : 10.1007/s10618-015-0436-8

S. D. Muthukumaraswamy, R. A. Edden, D. K. Jones, J. B. Swettenham, and K. D. Singh, Resting gaba concentration predicts peak gamma frequency and fmri amplitude in response to visual stimulation in humans, Proceedings of the National Academy of Sciences, vol.106, issue.20, pp.8356-8361, 2009.
DOI : 10.1073/pnas.0900728106

URL : http://www.pnas.org/content/106/20/8356.full.pdf

C. R. De-sá, W. Duivesteijn, C. Soares, and A. J. Knobbe, Exceptional preferences mining, DS. pp, pp.3-18, 2016.

P. W. Schofield, H. Ebrahimi, A. L. Jones, G. A. Bateman, and S. R. Murray, An olfactory 'stress test'may detect preclinical alzheimer's disease, BMC neurology, vol.12, issue.1, p.24, 2012.
DOI : 10.1186/1471-2377-12-24

URL : https://bmcneurol.biomedcentral.com/track/pdf/10.1186/1471-2377-12-24

R. J. Stevenson, An initial evaluation of the functions of human olfaction, Chemical senses, vol.35, issue.1, pp.3-20, 2009.

J. W. Tukey, Exploratory data analysis, vol.2, 1977.

S. Wrobel, An algorithm for multi-relational discovery of subgroups, pp.78-87, 1997.
DOI : 10.1007/3-540-63223-9_108

URL : https://link.springer.com/content/pdf/10.1007%2F3-540-63223-9_108.pdf