1.1.2 文献挖掘概述 与针对结构化数据的数据挖掘相对应,文献挖掘(Literature Mining)是针对非结构化数据的一种数据分析方法。两者之间除了所研究的数据类型不同外,其典型的研究方法和算法基本相同。
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By comparing the different algorithms and tools in data mining and literature mining, we find out a group of methods and tools which are suitable for the physiome study.
通过比较数据挖掘和文献挖掘的算法和工具,归纳设计出一套适合于生理组学研究的方法和工具。
参考来源 - 生理组学文献挖掘系统的实现·2,447,543篇论文数据,部分数据来源于NoteExpress
In addition, a literature mining strategy has been developed to explore patterns of term occurrences in abstracts.
此外,一种文献挖掘策略已经被开发以探索摘要中术语出现的模式。
By mining this data, scholars are able to shed new light onto many things we've long assumed about literature, language and culture.
通过挖掘这些数据,学者们可以对很多我们长期假设的事情作出新的诠释,如文学、语言以及文化。
Alexeyevich is not in the formal history of the historical literature to describe the history, but from the personal experience, confidential archives and from the forgotten, the negative data mining.
阿列克谢耶维奇并非按照正式的历史文献来描述历史,而是从个人经历、机密档案以及从被忘却、被否定的资料中挖掘。
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