业务流程挖掘和正式化Business Process Mining and Formalization |
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课程网址: | http://videolectures.net/coinactivess2010_grobelnik_bpm/ |
主讲教师: | Marko Grobelnik |
开课单位: | 约瑟夫·斯特凡学院 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 第1部分。上下文计算。上下文用作包装特定需求的信息的术语。从更广泛的信息池中选择信息或确定信息优先级的标准可以称为上下文模型。搜索可以是上下文相关的.上下文在计算中的相关性似乎在增加。许多应用程序领域都看到了通过引入上下文敏感度来扩展其价值的机会。文本挖掘和轻量级语义。视频讲座讨论以下主题:;-文本表示的级别;-数据建模(支持向量机);-分类为大分类法(dmoz);-视觉和上下文搜索(搜索点);-多语言搜索;-新闻偏见,新闻可视化;-文本丰富(enrycher);-基于知识的总结;-探索离子应答(answerart);-cyc知识库和推理 |
课程简介: | Part 1. Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization information from a broader pool of information could be called contextual model. Search can be contextual. The relevance of Context in computing seems to be growing. Many application areas see an opportunity in extending its value by introducing "context sensitivity". Text Mining & Light Weight Semantics. Videolectures discusses the following topics: ;- levels of text representations ;- modeling the data (Support Vector Machine) ;- classification into large taxonomies (DMoz) ;- visual & contextual search (Search Point) ;- multilingual search ;- news bias, news visualization ;- text enrichment (Enrycher) ;- knowledge based summarization ;- question answering (AnswerArt) ;- Cyc knowledge base and reasoning |
关 键 词: | 文本挖掘 ; 轻重量语义; 上下文搜索 |
课程来源: | 视频讲座网 |
最后编审: | 2021-12-23:liyy |
阅读次数: | 39 |