Acquisition of characteristic tree patterns with VLDC’s by genetic programming and edit distance

Acquisition of characteristic tree patterns with VLDC’s by genetic programming and edit distance
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通过遗传编程和编辑距离,使用 VLDC 获取特征树模式

DOI:
10.1109/iiai-aai.2013.79
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发表时间:
2013
期刊:
Proc. of IIAI International Conference on Advanced Applied Informatics (IIAIAAI)
影响因子:
--
通讯作者:
and Yusuke Suzuk
and Yusuke Suzuk
中科院分区:
--
文献类型:
--
作者:
Shohei Nakai;Tetsuhiro Miyahara;Tetsuji Kuboyama;Tomoyuki Uchida;and Yusuke Suzuk

文献摘要

相似文献

从结构化数据中发现知识是机器学习和数据挖掘中的一项重要任务。我们提出了一种学习方法,通过使用遗传编程和树编辑距离,从正负树结构数据中使用 VLDC 获取特征树模式。我们报告了将我们的方法应用于聚糖数据的实验结果。
Knowledge discovery from structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic tree patterns with VLDC's from positive and negative tree structured data by using Genetic Programming and tree edit distance. We report experimental results on applying our method to glycan data.