BOAT—Optimistic Decision Tree Construction
Summary: BOAT uses optimistic, subset-based initial tree construction with two scans per level, yielding large speedups. It refines to the exact tree and supports cheap incremental updates (insertions/deletions) that preserve the full-rebuild result. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Johannes Gehrke (University of Wisconsin)
- 2. Venkatesh Ganti (University of Wisconsin)
- 3. Raghu Ramakrishnan (University of Wisconsin)
- 4. Wei-Yin Loh (University of Wisconsin)
BibTeX Citation
@inproceedings{gehrke_sigmod99,
title = {{BOAT—Optimistic Decision Tree Construction}},
author = {Gehrke, Johannes and Ganti, Venkatesh and Ramakrishnan, Raghu and Loh, Wei-Yin},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304197},
url = {https://dl.acm.org/doi/10.1145/304182.304197},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 566 | On Computing Correlated Aggregates Over Continual Data Streams | 2001 | SIGMOD | 0.00016288241 |
| 1,732 | Addressing Diverse User Preferences in SQL-Query-Result Navigation | 2007 | SIGMOD | 9.7633187e-05 |
| 2,243 | Automatic Categorization of Query Results | 2004 | SIGMOD | 8.7643883e-05 |
| 2,605 | PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce | 2009 | VLDB | 8.2273571e-05 |
| 7,285 | Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration | 2020 | VLDB | 5.5639701e-05 |
| 8,852 | Building Statistical Models and Scoring with UDFs | 2007 | SIGMOD | 5.2632106e-05 |
| 10,068 | Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests | 2023 | VLDB | 5.0851868e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 452 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00018010465 |
| 1,519 | SPRINT: A Scalable Parallel Classifier for Data Mining | 1996 | VLDB | 0.00010389098 |
| 2,034 | RainForest - A Framework for Fast Decision Tree Construction of Large Datasets | 1998 | VLDB | 9.152958e-05 |
| 4,602 | Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules | 1996 | VLDB | 6.5046073e-05 |
| 4,666 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD | 6.4770096e-05 |
| 4,876 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.3698245e-05 |
| 5,155 | Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases | 1998 | VLDB | 6.2487299e-05 |
| 5,302 | PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning | 1998 | VLDB | 6.1869634e-05 |
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|---|---|---|---|---|
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| 4 | 1,519 | SPRINT: A Scalable Parallel Classifier for Data Mining | 1996 | VLDB |
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| 8 | 4,602 | Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules | 1996 | VLDB |
| 9 | 5,302 | PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning | 1998 | VLDB |
| 10 | 2,034 | RainForest - A Framework for Fast Decision Tree Construction of Large Datasets | 1998 | VLDB |