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。
In addition, a literature mining strategy has been developed to explore patterns of term occurrences in abstracts.
布林对数据挖掘很有兴趣； 佩奇知道可以从一篇文献被引用的次数推断其重要性，试图将这个概念进一步引申、运用。
Mr Brin was interested in data mining, and Mr Page in extending the concept of inferring the importance of a research paper from its citations in other papers.
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。
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.
通过文献资料、考察挖掘、田野实证等方法，对畲族传统体育进行了调查。
By adapting the methods of documentation, investigation and field demonstration, the author makes a research on Shezu traditional sport.
命名实体识别是生物医学文献文本挖掘重要的第一步。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
文本挖掘是基于非相关文献知识发现的核心。
Text mining is the kernel of the disjoint literature-based knowledge discovery.
本文对生物医学文献知识发现的研究内容、研究成果以及基于文本挖掘的关键技术诸方面进行了系统的分析和阐述。
The latest researches of biomedical literature knowledge discovery, including main issues, accomplishment, and the key methods from text mining perspective, are discussed.
本系统是国内第一个针对TRIP系统的文献日志进行挖掘的个性化信息服务系统。
This System is the first personality information system using TRIP system's query log for web mining at home.
以期对综述文献资源的优化整合及进一步挖掘提供一些参考。
The aim of this paper is providing some references for review literature resources optimization and further excavation.
中国现代文学研究的开展与深入，与现代文学文献的整理和挖掘息息相关。
The development and deep research on the contemporary literature of China is closely bound up with the neatening and mining of the contemporary literature.
前言： 本研究采用文本挖掘技术，从在全球公开的纳米科学和技术研究文献数据库（SCI/ SSCI数据库）中提取技术情报。
Text mining was used to extract technical intelligence from the global open nanotechnology and nano science research literature.
本文正是基于数据挖掘技术，实现毕业设计过程中的文献自动推荐。
The reference automatic recommendation in the dissertation process is implemented in this dissertation based on DM technology.
排序和分类是人类的两种基本知识，一般文献中讨论的都是关于分类规则的挖掘，挖掘排序规则是一种新的思想，本文对挖掘排序规则的算法作了更为全面深入的探讨并加以改进。
Sorting and classifying are two basic kinds of knowledge and mining ordering rules is a novel thought. The algorithms for ordering rules is discussed deeply and improved in this paper.
利用关联规则挖掘文献资源间的关联程度，从而产生近邻资源，可以很好的解决稀疏性以及奇异发现问题。
The association rule is used to analyze the relationship between reference resources, without sparsity and odd matching problems.
利用关联规则挖掘文献资源间的关联程度，从而产生近邻资源，可以很好的解决稀疏性以及奇异发现问题。
The association rule is used to analyze the relationship between reference resources, without sparsity and odd matching problems.
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