RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
Summary: RainForest provides a unifying framework for fast decision-tree construction on large data, decoupling scalability from tree quality and enabling deployment of C4.5, CART, ID3, SLIQ, Sprint, QUEST. It yields scalable classifiers with >5× speedup over Sprint, at memory cost proportional to column value distinct counts. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Johannes Gehrke (University of Wisconsin)
- 2. Raghu Ramakrishnan (University of Wisconsin)
- 3. Venkatesh Ganti (University of Wisconsin)
BibTeX Citation
@article{gehrke_vldb98,
title = {{RainForest - A Framework for Fast Decision Tree Construction of Large Datasets}},
author = {Gehrke, Johannes and Ramakrishnan, Raghu and Ganti, Venkatesh},
journal = {PVLDB},
series = {{VLDB} '98},
pages = {416--427},
year = {1998}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 75 | Sampling-Based Estimation of the Number of Distinct Values of an Attribute | 1995 | VLDB | 0.00037277061 |
| 440 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00018409145 |
| 1,485 | SPRINT: A Scalable Parallel Classifier for Data Mining | 1996 | VLDB | 0.00010628998 |
| 4,509 | Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules | 1996 | VLDB | 6.6548619e-05 |
| 5,034 | Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases | 1998 | VLDB | 6.3930337e-05 |
| 5,178 | PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning | 1998 | VLDB | 6.3299405e-05 |
Previous
Page 1 / 1
Next