首页> 外文会议>CONIELECOMP 2013 >Searching Research Papers Using Clustering and Text Mining
【24h】

Searching Research Papers Using Clustering and Text Mining

机译:使用聚类和文本挖掘搜索研究论文

获取原文

摘要

The time spent by users are almost two or more hours looking for papers that generates the possibility to make a search engine to optimize and precision in the results. This works purposes a better classification of research papers, the architecture works with a database of knowledge related with the topics of programming, databases and operating systems. That's the initial work of a classification using text mining techniques to search into the documents with natural language contained and get the best words of their content to get a database knowledge, that's the first step to get the desired knowledge also the proposed work use the same engine to make searches classifying the information introduced by the final user and searching in the correct cluster
机译:用户花费的时间几乎是两个或更多个小时寻找产生搜索引擎以优化和精度在结果中进行优化和精度的论文。这项工作目的是研究论文的更好分类,该体系结构与与编程,数据库和操作系统的主题相关的知识数据库。这是使用文本挖掘技术进行分类的初始工作,以通过包含自然语言搜索和获得其内容的最佳单词以获得数据库知识的最佳单词,这是获得所需知识的第一步,也是所提出的工作使用相同的工作引擎使搜索分类由最终用户引入的信息并在正确的群集中进行搜索

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号