Efficient Construction of Regression Trees with Range and Region Splitting
Summary: Introduces regression-tree splits using 2D grid regions over pairs of numeric attributes, rather than conventional one-dimensional guillotine cuts. An efficient MSE-minimizing region-search algorithm yields more accurate and smaller trees. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yasuhiko Morimoto (International Business Machines Tokyo Research Laboratory)
- 2. Hiromu Ishii (University of Tokyo)
- 3. Shinichi Morishita (International Business Machines Tokyo Research Laboratory)
BibTeX Citation
@article{morimoto_vldb97,
title = {{Efficient Construction of Regression Trees with Range and Region Splitting}},
author = {Morimoto, Yasuhiko and Ishii, Hiromu and Morishita, Shinichi},
journal = {PVLDB},
series = {{VLDB} '97},
volume = {23},
pages = {166--175},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,664 | SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables | 2001 | SIGMOD | 8.1367338e-05 |
| 4,199 | Traversing Itemset Lattices with Statistical Metric Pruning | 2000 | PODS | 6.7299701e-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 |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006440069 |
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00051028332 |
| 251 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00023079256 |
| 468 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00017705907 |
| 622 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015452634 |
| 4,619 | Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules | 1996 | VLDB | 6.4831331e-05 |
| 4,680 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD | 6.4556344e-05 |
| 4,899 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.3488253e-05 |
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