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: 3097
Venue: SIGMOD
Year: 1999
Pagerank: 8.3050259e-05
Overall Rank: 2,687 | 81.31%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
619	On Computing Correlated Aggregates Over Continual Data Streams	2001	SIGMOD	0.00019066583
1,605	Addressing Diverse User Preferences in SQL-Query-Result Navigation	2007	SIGMOD	0.00011186762
2,096	Automatic Categorization of Query Results	2004	SIGMOD	9.5498009e-05
2,630	PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce	2009	VLDB	8.4128091e-05
8,048	Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration	2020	VLDB	4.5977431e-05
8,466	Building Statistical Models and Scoring with UDFs	2007	SIGMOD	4.5050696e-05
11,251	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB	4.1945683e-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
230	An Interval Classifier for Database Mining Applications	1992	VLDB	0.00032217064
1,107	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB	0.00013985717
1,455	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB	0.00011899821
3,770	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB	6.7779074e-05
4,218	Mining Optimized Association Rules for Numeric Attributes	1996	PODS	6.3511866e-05
4,398	Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization	1996	SIGMOD	6.2225159e-05
4,643	Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases	1998	VLDB	6.0261932e-05
4,685	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB	5.9994771e-05

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Overall Rank	Paper	Year	Venue	Pagerank
13,214	Automated Category Tree Construction in E-Commerce	2022	SIGMOD	-
12,692	Decision Tables: Scalable Classification Exploring RDBMS Capabilities	2000	VLDB	4.1945683e-05
10,881	Datamap-Driven Tabular Coreset Selection for Classifier Training	2025	VLDB	4.1945683e-05
1,107	SPRINT: A Scalable Parallel Classifier for Data Mining	1996	VLDB	0.00013985717
9,469	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD	4.3342363e-05
7,489	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning	2023	SIGMOD	4.7180617e-05
11,251	Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests	2023	VLDB	4.1945683e-05
3,770	Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules	1996	VLDB	6.7779074e-05
4,685	PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning	1998	VLDB	5.9994771e-05
1,455	RainForest - A Framework for Fast Decision Tree Construction of Large Datasets	1998	VLDB	0.00011899821