SPRINT: A Scalable Parallel Classifier for Data Mining
Summary: SPRINT is a scalable, parallel, decision-tree classifier that removes in-memory bottlenecks for large-scale data mining. Its parallel design enables easy multi-processor training to build a single, consistent model with excellent scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. John Shafer
- 2. Rakesh Agrawal
- 3. Manish Mehta
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 232 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00032060702 |
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| 12,658 | Fast and accurate text classification via multiple linear discriminant projections | 2002 | VLDB | 4.1905499e-05 |
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| 1,458 | RainForest - A Framework for Fast Decision Tree Construction of Large Datasets | 1998 | VLDB | 0.00011888676 |