Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes-Reference-Cited by-同舟云学术

Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes

Published:2018 Issue: Volume: Page:79-88
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning – IDEAL 2018
language:
Short-container-title:

Author:

Fister Iztok,Iglesias Andres,Galvez Akemi,Del Ser Javier,Osaba Eneko,Fister Iztok

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-03493-1_9

Reference19 articles.

1. SportyDataGen. http://www.sport-slo.net/ . Accessed 30 May 2018

2. Agbehadji, I.E., Fong, S., Millham, R.: Wolf search algorithm for numeric association rule mining. In: 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), pp. 146–151. IEEE (2016)

3. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of 28th International Conference on Very Large Data Bases, VLDB, vol. 1215, pp. 487–499 (1994)

4. Alataş, B., Akin, E.: An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules. Soft Comput. 10(3), 230–237 (2006)

5. Alatas, B., Akin, E.: Rough particle swarm optimization and its applications in data mining. Soft Comput. 12(12), 1205–1218 (2008)

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Association Rule Mining as Knowledge Infusion into the Mechanics of an eXtended Classifier System;2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES);2024-07-17

2. A Metaheuristic Perspective on Extracting Numeric Association Rules: Current Works, Applications, and Recommendations;Archives of Computational Methods in Engineering;2024-03-29

3. niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms;CRAN: Contributed Packages;2024-03-09

4. Contribution of low support association rules in understanding the mined knowledge;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

5. A new evolutionary optimization based on multi-objective firefly algorithm for mining numerical association rules;Soft Computing;2024-01-10