K. Bache and M. Lichman, UCI machine learning repository, 2013.

S. Bayoudh, L. Miclet, and A. Delhay, Learning by analogy: A classification rule for binary and nominal data, Proc. Inter. Conf. on Artificial Intelligence, pp.678-683, 2007.

M. Hall, The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

E. Hüllermeier, Case-Based Approximate Reasoning. Theory and Decision Library, 2007.

L. Miclet and A. Delhay, Analogical Dissimilarity: definition, algorithms and first experiments in machine learning, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00070321

L. Miclet, S. Bayoudh, and A. Delhay, Analogical dissimilarity: definition, algorithms and two experiments in machine learning, JAIR, vol.32, pp.793-824, 2008.

L. Miclet and H. Prade, Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings, ECSQARU 2009, pp.638-650, 2009.
DOI : 10.1007/BFb0017032

R. M. Moraes, L. S. Machado, H. Prade, and G. Richard, Classification Based on Homogeneous Logical Proportions, Proc. 33th Int. Conf. on Artificial Intelligence, 2013.
DOI : 10.1007/978-3-319-02621-3_4

H. Prade and G. Richard, Analogy, Paralogy and Reverse Analogy: Postulates and Inferences, KI 2009, pp.306-314, 2009.
DOI : 10.1007/978-3-540-45091-7_2

URL : https://opus.lib.uts.edu.au/bitstream/10453/32831/1/2013007811OK.pdf

H. Prade and G. Richard, Analogical proportions: another logical view, Proc. 29th Int. Conf. Artif. Intellig, pp.121-134, 2009.
DOI : 10.1007/978-1-84882-983-1_9

URL : https://opus.lib.uts.edu.au/bitstream/10453/32830/1/2013007810OK.pdf

H. Prade and G. Richard, Multiple-Valued Logic Interpretations of Analogical, Reverse Analogical, and Paralogical Proportions, 2010 40th IEEE International Symposium on Multiple-Valued Logic, pp.258-263, 2010.
DOI : 10.1109/ISMVL.2010.55

H. Prade, G. Richard, and B. Yao, Enforcing regularity by means of analogy-related proportions -A new approach to classification, Int. Jour. Computer Information Systems and Industrial Management Applications, vol.4, pp.648-658, 2012.

H. Prade and G. Richard, Homogeneous Logical Proportions: Their Uniqueness and Their Role in Similarity-Based Prediction, Proc. XIII International Conference on Principles of Knowledge Representation and Reasoning, pp.402-412, 2012.