The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Mining optimized association rules for numeric attributes
Open accessAbstract
Given a huge database, we address the problem of finding association rules for numeric attributes, such as Permission to make digital/hard copies of all or pati of this material for personal or claasroom usc is granted without fee provided that the copies are not made or distributed for pro~t or cornmesvial advantage, the copyright notice, the title of the publication and Its date appear, and notice is given that cop yright is by permission of the ACM, Inc.To copy otherwise, to repubtish, to post on servers or to redistribute to lists, requires specific permission and/or fee.PODS '96, Montreal Quebec Canada
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Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Cited by
Algorithms for association rule mining — a general survey and comparison
Hipp, J., Güntzer, U., & Nakhaeizadeh, G. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/360402.360421 · Cited by 962
Entropy-based subspace clustering for mining numerical data
Cheng, C.-H., Fu, A. W., & Zhang, Y. (1999) · Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/312129.312199 · Cited by 543
BOAT—optimistic decision tree construction
Gehrke, J., Ganti, V., Ramakrishnan, R., & Loh, W.-Y. (1999) · ACM SIGMOD Record · doi:10.1145/304181.304197 · Cited by 288
Metadata
- Authors
- Fukuda, T., Morimoto, Y., Morishita, S., & Tokuyama, T.
- Venue
- Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
- Publisher
- ACM
- Published
- 1996-06-03
- Pages
- 182-191
- OpenAlex
- W2013017122
- Cited by
- 210
- References
- 2
- FWCI
- 14.26
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Fukuda, T., Morimoto, Y., Morishita, S., & Tokuyama, T. (1996). Mining optimized association rules for numeric attributes. Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems. https://doi.org/10.1145/237661.237708
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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.
