Towards a Particle Swarm Optimization-Based Regression Rule Miner

被引：1
|
作者：
Minnaert, Bart [1 ]
Martens, David [1 ]
机构：
[1] Univ Ghent, Univ Coll Ghent, Fac Econ & Business Adm, B-9000 Ghent, Belgium
来源：
12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012) | 2012年
关键词：
regression; rule mining; particle swarm optimization; heuristic;
D O I：
10.1109/ICDMW.2012.44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present the work in progress on a rule mining algorithm for regression using particle swarm optimization (PSO). Subproblems occuring during development involve the encoding of rules as particles and suitable PSO parameter tuning. A key subtask is the selection of a good rule learning heuristic. We introduce a novel heuristic for which preliminary results show promise.
引用
收藏
页码：961 / 963
页数：3
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