图 书 馆
规划学习与知识发现本体论Planning to Learn with a Knowledge Discovery Ontology |
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| 课程网址: | http://videolectures.net/solomon_zakova_plkdo/ |
| 主讲教师: | Monika Žakova |
| 开课单位: | 布拉格捷克理工大学 |
| 开课时间: | 2008-12-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Assembly of optimized knowledge discovery workfows requires awareness of and extensive knowledge about the principles and mutual relations between diverse data processing and mining algorithms.We aim at alleviating this burden by automatically proposing workfows for the given type of inputs and required outputs of the discovery process. The methodology adopted in this study is to define a formal conceptualization of knowledge types and data mining algorithms and design a planning algorithm, which extracts constraints from this conceptualization for the given user's input-output requirements. We demonstrate our approach in two use cases, one from scientific discovery in genomics and another from advanced engineering. |
| 关 键 词: | 数据挖掘; 挖掘算法; 数据处理 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-31：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 57 |