WebApriori: A Web Application for Association Rules Mining-Reference-Cited by-同舟云学术

WebApriori: A Web Application for Association Rules Mining

Published:2020 Issue: Volume: Page:371-377
ISSN:0302-9743
Container-title:Intelligent Tutoring Systems
language:
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Author:

Malliaridis Konstantinos,Ougiaroglou Stefanos,Dervos Dimitris A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49663-0_44

Reference4 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference on Very Large Data Bases, VLDB 1994, pp. 487–499 (1994)

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);MZ Ashrafi,2005

3. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newslett. 11(1), 10–18 (2009)

4. Vojír, S., Zeman, V., Kuchar, J., Kliegr, T.: Easyminer.eu: web framework for interpretable machine learning based on rules and frequent itemsets. Knowl.-Based Syst. 150, 111–115 (2018). https://doi.org/10.1016/j.knosys.2018.03.006

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