Apriori (WEKA version). (R. Agrawal, T. Imielinski and A. Swami. Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD international conference on Management of data, SIGMOD '93. pag: 207-216)
Apriori Quantiative (KEEL version). (R. Srikant and R. Agrawal. Mining Quantitative Association Rules in Large Relational Tables, Proceedings of the 1996 ACM SIGMOD international conference on Management of data, SIGMOD '96. pag: 1-12)
Eclat (KEEL version). (M.J. Zaki. Scalable Algorithms for Association Mining, IEEE Transactions on Knowledge and Data Engineering, Volume 12, Issue 3 (2000), Page 372-390)
GENAR (KEEL version). (J. Mata, J.L. Alvarez and J.C. Riquelme. Mining numeric association rules with genetic algorithms, Proceeedings of the 5th International Conference on Artificial Neural Networks and Genetic Algorithms, ICANNGA 2001, pag: 264-267)
FuzzyApriori (KEEL version). (T. Hong, C. Kuo and S. Chi. Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 9, Issue 5 (2001), Page 587-604)
GAR (KEEL version). (J. Mata, J.L. Alvarez and J.C. Riquelme. Discovering Numeric Association Rules via Evolutionary Algorithm, Proceeedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2002, pag: 40-51, ISBN: 1-58113-445-2.)
FPGrowth (KEEL version). (J. Han, J. Pei, Y. Yin, R. Mao. Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery, Volume 8, Issue 1 (2004), Page 53-87)
Predictive Apriori (WEKA version). (T. SCheffer. Finding association rules that trade support optimally against confidence. Intelligent Data Analysis, Volume 9, Issue 4 (2005), Page 381-395)
Alatas (KEEL version). (B. Alatas and E. Akin. An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules. Soft Computing, Volume 10, Issue 3 (2006), Page 230-237)
EARMGA (KEEL version). (X. Yan, C. Zhang and S. Zhang . Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. Expert Systems with Appications, Volume 36 (2009), Page 3066-3076)
Alcalaetal (KEEL version). (J. Alcala-Fdez , R. Alcala , M.J. Gacto and F. Herrera . Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets and Systems, Volume 160, Issue 7 (2009), Page 905-921)
G3PARM (Original version). (J.M. Luna, J.R. Romero and S. Ventura. Design and Behaviour Study of a Grammar Guided Genetic Programming Algorithm for Mining Association Rules. Knowledge and Information Systems, Volume 32, Issue 1 (2012), Page 53-76)
NSGA-G3P (Original version). (J.M. Luna, J.R. Romero and S. Ventura. Grammar-Based Multi-Objective Algorithms for Mining Association Rules. Data & Knowledge Engineering, Volume 86, Page 19-37, 2013)
SPEA-G3P (Original version). (J.M. Luna, J.R. Romero and S. Ventura. Grammar-Based Multi-Objective Algorithms for Mining Association Rules. Data & Knowledge Engineering, Volume 86, Page 19-37, 2013)
Rare-G3P (Original version). (J.M. Luna, J.R. Romero and S. Ventura. On the Adaptability of G3PARM to the Extraction of Rare Association Rules. Knowledge and Information Systems, Volume 38, Issue 2 (2014), Page 391-418)