Association Rule Mining Bibliography

Algorithms

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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.)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Weka plugin. The algorithm can also be runned within the Weka software tool. You should import the provided package by using the Weka package manager (requires WEKA 3.7.5).
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Weka plugin. The algorithm can also be runned within the Weka software tool. You should import the provided package by using the Weka package manager (requires WEKA 3.7.5).
  • Citation.
  • Article.

• 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)

  • Runnable jar file.
  • Weka plugin. The algorithm can also be runned within the Weka software tool. You should import the provided package by using the Weka package manager (requires WEKA 3.7.5).
  • Citation.
  • Article.

• 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)

  • Runnable jar file (Fitness function F1).
  • Runnable jar file (Fitness function F2).
  • Runnable jar file (Fitness function F3).
  • Runnable jar file (Fitness function F4).
  • Citation.
  • Article.