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)

Paper ID: h936c167f7d788799
Venue: SIGMOD
Year: 1999
Pagerank: 7.9233098e-05
Overall Rank: 2,870 | 80.71%
DOI: 10.1145/304182.304197

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	0.00016295476
1,729	Addressing Diverse User Preferences in SQL-Query-Result Navigation	2007	SIGMOD	9.7679275e-05
2,242	Automatic Categorization of Query Results	2004	SIGMOD	8.7685327e-05
2,603	PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce	2009	VLDB	8.2312028e-05
7,282	Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration	2020	VLDB	5.5666052e-05
8,842	Building Statistical Models and Scoring with UDFs	2007	SIGMOD	5.2657018e-05
10,063	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB	5.0875952e-05

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	0.00018018759
1,519	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB	0.00010393924
2,031	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB	9.1572841e-05
4,600	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB	6.507687e-05
4,664	Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization	1996	SIGMOD	6.4800763e-05
4,873	Mining Optimized Association Rules for Numeric Attributes	1996	PODS	6.372839e-05
5,154	Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases	1998	VLDB	6.2516885e-05
5,299	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB	6.1898928e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	13,731	Automated Category Tree Construction in E-Commerce	2022	SIGMOD
2	13,175	Decision Tables: Scalable Classification Exploring RDBMS Capabilities	2000	VLDB
3	11,454	Datamap-Driven Tabular Coreset Selection for Classifier Training	2025	VLDB
4	1,519	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB
5	9,846	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD
6	7,524	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning	2023	SIGMOD
7	10,063	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB
8	4,600	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB
9	5,299	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB
10	2,031	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB