Database Paper Browser

Back to papers

PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce

Summary: PLANET leverages MapReduce to train tree ensembles on massive datasets using commodity hardware. It frames tree learning as distributed MapReduce steps, enabling scalable construction of classification/regression trees and ensembles on commodity clusters, demonstrated on computational advertising. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9905
Venue
VLDB
Year
2009
Pagerank
8.4128091e-05
Overall Rank
2,630 | 81.71%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
1,158 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.0001361064
1,895 VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning 2021 SIGMOD 0.00010180896
1,940 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 0.00010020173
2,337 Efficient Processing of Data Warehousing Queries in a Split Execution Environment 2011 SIGMOD 9.0098186e-05
2,642 Vertica-ML: Distributed Machine Learning in Vertica Database 2020 SIGMOD 8.3851878e-05
2,674 Minimal MapReduce Algorithms 2013 SIGMOD 8.3328645e-05
4,402 Smurf: Self-Service String Matching Using Random Forests 2019 VLDB 6.2195162e-05
7,294 Optimization for iterative queries on MapReduce 2014 VLDB 4.773119e-05
8,048 Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration 2020 VLDB 4.5977431e-05
11,251 Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests 2023 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
443 Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets 1999 SIGMOD 0.00022996573
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
2,687 BOAT—Optimistic Decision Tree Construction 1999 SIGMOD 8.3050259e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
11,447 Grouped Learning: Group-By Model Selection Workloads 2021 SIGMOD 4.1945683e-05
4,557 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.087611e-05
3,087 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5939896e-05
8,967 Planting Trees for scalable and efficient Canonical Hub Labeling 2020 VLDB 4.4190656e-05
13,343 M3: Scaling Up Machine Learning via Memory Mapping 2016 SIGMOD -
12,729 Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy 1998 SIGMOD 4.1945683e-05
1,402 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012180605
9,222 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3698672e-05
7,790 Mining Tree-Structured Data on Multicore Systems 2009 VLDB 4.650649e-05
1,455 RainForest - A Framework for Fast Decision Tree Construction of Large Datasets 1998 VLDB 0.00011899821