Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications
Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications
复制标题
使用自动组合工具进行归纳应用，从脑膜脑炎数据集获得知识发现支持
DOI：
10.1007/3-540-45548-5_70
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发表时间：
2001
期刊：
影响因子：
7.5
通讯作者：
Takahira Yamaguchi
中科院分区：
文献类型：
--
作者：
Hiromitsu Hatazawa;H. Abe;Mao Komori;Y. Tachibana;Takahira Yamaguchi
这里介绍了CAMLET，它是一个使用指定归纳学习方法的本体来自动组合归纳应用的平台。Camlet使用进程和对象本体构建归纳应用程序。我们已经将CAMLET应用于一个脑膜脑炎数据集，并对CAMLET进行了评估。实验结果表明，它支持人类专家发现他感兴趣的知识。
Here is presented CAMLET that is a platform for automatic composition of inductive applications using ontologies that specify inductive learning methods. CAMLET constructs inductive applications using process and object ontologies. We have applied CAMLET to a meningoencephalitis dataset and evaluated CAMLET. The experimental results have shown us that it supports a human expert in discovering knowledge interesting to him.