DBScholar

Back to papers

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
8698
Venue
VLDB
Year
1998
Pagerank
9.3409624e-05
Overall Rank
1,994 | 86.33%
DOI
-

Incoming Non-self Citations Over Time

Authors

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.

Previous Page 1 / 1 Next

Semantically Similar Papers