Building a Competitive Associative Classifier-Reference-Cited by-同舟云学术

Building a Competitive Associative Classifier

Published:2020 Issue: Volume: Page:223-234
ISSN:0302-9743
Container-title:Big Data Analytics and Knowledge Discovery
language:
Short-container-title:

Author:

Sood Nitakshi,Zaiane Osmar^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-59065-9_18

Reference15 articles.

1. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996). https://doi.org/10.1023/A:1018054314350

2. Coenen, F.: The LUCS-KDD software library (2004). http://cgi.csc.liv.ac.uk/~frans/KDD/Software/

3. Cohen, W.: Fast effective rule induction. In: International Conference on Machine Learning, pp. 115–123. Elsevier (1995)

4. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995). https://doi.org/10.1007/BF00994018

5. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1–30 (2006)

Cited by 5 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. AC.Rank_A : Rule Ranking Method via Aggregation of Objective Measures for Associative Classifiers;IEEE Access;2024

2. CFAR++: Enhancing Rule Based Classifier;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

3. Dynamic Ensemble Associative Learning;2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM);2022-11-10

4. Deep Associative Classifier;2022 IEEE International Conference on Knowledge Graph (ICKG);2022-11

5. MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification;Applied Intelligence;2021-06-29