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: 3159
Venue: SIGMOD
Year: 1999
Pagerank: 8.0985732e-05
Overall Rank: 2,810 | 80.73%
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
551	On Computing Correlated Aggregates Over Continual Data Streams	2001	SIGMOD	0.00016635191
1,725	Addressing Diverse User Preferences in SQL-Query-Result Navigation	2007	SIGMOD	9.9197083e-05
2,204	Automatic Categorization of Query Results	2004	SIGMOD	8.959723e-05
2,560	PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce	2009	VLDB	8.4143663e-05
7,170	Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration	2020	VLDB	5.6840081e-05
8,678	Building Statistical Models and Scoring with UDFs	2007	SIGMOD	5.3864318e-05
9,874	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB	5.2043672e-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
440	An Interval Classifier for Database Mining Applications	1992	VLDB	0.00018409145
1,485	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB	0.00010628998
1,994	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB	9.3409624e-05
4,509	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB	6.6548619e-05
4,565	Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization	1996	SIGMOD	6.6278063e-05
4,766	Mining Optimized Association Rules for Numeric Attributes	1996	PODS	6.5181854e-05
5,034	Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases	1998	VLDB	6.3930337e-05
5,178	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB	6.3299405e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	13,417	Automated Category Tree Construction in E-Commerce	2022	SIGMOD
2	11,104	Datamap-Driven Tabular Coreset Selection for Classifier Training	2025	VLDB
3	1,485	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB
4	12,885	Decision Tables: Scalable Classification Exploring RDBMS Capabilities	2000	VLDB
5	9,672	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD
6	7,381	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning	2023	SIGMOD
7	9,874	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB
8	4,509	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB
9	5,178	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB
10	1,994	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB