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ART:: A hybrid classification model
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DOI：10.1023/B:MACH.0000008085.22487.a6.png)
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摘要
En 中文
This paper presents a new family of decision list induction algorithms based on ideas from the association rule mining context. ART, which stands for 'Association Rule Tree', builds decision lists that can be viewed as degenerate, polythetic decision trees. Our method is a generalized Separate and Conquer algorithm suitable for Data Mining applications because it makes use of efficient and scalable association rule mining techniques.
Keyword:
supervised learning
classification
decision lists
decision trees
association rules
Data Mining
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