The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
A Survey of Methods for Scaling Up Inductive Algorithms
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Citations
Cites
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
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Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Fast algorithms for mining association rules
Agrawal, R., & Srikant, R. (1998) · Cited by 11,307
Fast Algorithms for Mining Association Rules in Large Databases
Agrawal, R., & Srikant, R. (1994) · Very Large Data Bases · Cited by 9,419
Wrappers for feature subset selection
Kohavi, R., & John, G. H. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00043-x · Cited by 8,947
Data mining and knowledge discovery: making sense out of data
Feyyad, U. M. (1996) · IEEE Expert · doi:10.1109/64.539013 · Cited by 4,612
Cited by
Rokach, L. (2010) · Artificial Intelligence Review · doi:10.1007/s10462-009-9124-7 · Cited by 2,657
Tree Induction for Probability-Based Ranking
Provost, F., & Domingos, P. (2003) · Machine Learning · doi:10.1023/a:1024099825458 · Cited by 541
Self-citationSeries in Machine Perception and Artificial Intelligence
(2012) · Series in machine perception and artificial intelligence · doi:10.1142/smpai · Cited by 365
On Issues of Instance Selection
Liu, H., & Motoda, H. (2002) · Data Mining and Knowledge Discovery · doi:10.1023/a:1014056429969 · Cited by 191
The effects of data sampling with deep learning and highly imbalanced big data
Johnson, J. M., & Khoshgoftaar, T. M. (2020) · Information Systems Frontiers · doi:10.1007/s10796-020-10022-7 · Cited by 81
Metadata
- Authors
- Provost, F., & Kolluri, V.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 1999-06
- Volume
- 3
- Issue
- 2
- Pages
- 131-169
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W1601142477
- Cited by
- 277
- References
- 101
- FWCI
- 49.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Survey of Methods for Scaling Up Inductive Algorithms. https://app.cochat.ai/papers/10.1023/a:1009876119989
- The paper
- Provost, F., & Kolluri, V. (1999). A Survey of Methods for Scaling Up Inductive Algorithms. Data Mining and Knowledge Discovery. https://doi.org/10.1023/a%3A1009876119989
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.
