An Evolutionary Method for Exceptional Association Rule Set Discovery from Incomplete Database-Reference-Cited by-同舟云学术

An Evolutionary Method for Exceptional Association Rule Set Discovery from Incomplete Database

Published:2014 Issue: Volume: Page:133-147
ISSN:0302-9743
Container-title:Information Technology in Bio- and Medical Informatics
language:
Short-container-title:

Author:

Shimada Kaoru,Hanioka Takashi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-10265-8_12

Reference17 articles.

1. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. of the 20th VLDB Conf., pp. 487–499 (1994)

2. Han, J., Pei, J., Yin, Y., Mao, R.: Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Mining and Knowledge Discovery 8, 53–87 (2004)

3. Liu, B., Hsu, W., Ma, Y.: Integrating Classification and Association Rule Mining. In: Proc. of the ACM Int’l Conf. on Knowledge Discovery and Data Mining, pp. 80–86 (1998)

4. Li, W., Han, J., Pei, J.: CMAR: Accurate and efficient classification based on multiple class-association rules. In: Proc. of the 2001 IEEE Int’l Conf. on Data Mining (ICDM), pp. 369–376 (2001)

5. Yin, X., Han, J.: CPAR: Classification based on predictive association rules. In: Proc. of the 2003 SIAM International Conference on Data Mining, SDM 2003 (2003)

Cited by 3 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. Exceptional Association Rule Set Discovery from Community-Dwelling Elderly People Database;2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2018-10

2. Exceptional Association Rule Set Mining from Oral Health Assessment Database;Advances in Intelligent Systems and Computing;2017-09-20

3. Association Rule-based Classifier Using Artificial Missing Values;Advances in Data Mining. Applications and Theoretical Aspects;2017