The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
FURIA: an algorithm for unordered fuzzy rule induction
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Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
UCI Machine Learning Repository
Asuncion, A. (2007) · Medical Entomology and Zoology · Cited by 24,156
(1992) · Cited by 23,431
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 11,811
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
Proceedings of the 25th international conference on Machine learning - ICML '08
(2008) · doi:10.1145/1390156 · Cited by 6,680
A survey of decision tree classifier methodology
Safavian, S. R., & Landgrebe, D. (1991) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.97458 · Cited by 3,808
Cohen, W. W. (1995) · Machine Learning Proceedings 1995 · doi:10.1016/b978-1-55860-377-6.50023-2 · Cited by 3,787
Generating fuzzy rules by learning from examples
Wang, L.-X., & Mendel, J. M. (1992) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.199466 · Cited by 2,894
A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
Friedman, M. (1940) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731944 · Cited by 2,785
Cited by
The 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Fuzzy logic applied to opinion mining: A review
Serrano-Guerrero, J., Romero, F. P., & Olivas, J. A. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107018 · Cited by 141
Artificial intelligence moving serious gaming: Presenting reusable game AI components
Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., Georgiadis, K., Nyamsuren, E., Bahreini, K., Yumak, Z., et al. (2020) · Education and Information Technologies · doi:10.1007/s10639-019-09968-2 · Cited by 136
Large iterative multitier ensemble classifiers for security of big data
Abawajy, J. H., Kelarev, A., & Chowdhury, M. (2014) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2014.2316510 · Cited by 44
Metadata
- Authors
- Hühn, J., & Hüllermeier, E.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2009-04-29
- Volume
- 19
- Issue
- 3
- Pages
- 293-319
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2164400088
- Cited by
- 441
- References
- 36
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hühn, J., & Hüllermeier, E. (2009). FURIA: an algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery. https://doi.org/10.1007/s10618-009-0131-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
