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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)

Paper ID
8507
Venue
VLDB
Year
1998
Pagerank
0.00011899821
Overall Rank
1,455 | 89.88%
DOI
-

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