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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)

Paper ID
8373
Venue
VLDB
Year
1996
Pagerank
0.00013985717
Overall Rank
1,107 | 92.31%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
230 An Interval Classifier for Database Mining Applications 1992 VLDB 0.00032217064
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