【24h】

Keyword extraction using machine learning approaches

机译:使用机器学习方法进行关键词提取

获取原文

摘要

Data Mining is the procedure to separate concealed prescient data from database and change it into a reasonable structure for sometime later. The varying areas in information mining are Web Mining, Text Mining, Sequence Mining, graph Mining, temporal Data Mining, Spatial Data Mining, Distributed Data Mining and Multimedia Mining. A portion of the utilizations of information mining, it is utilized for the budgetary information examination, retail and media transmission ventures, science and designing and interruption location and counteractive action. In this exploration paper a calculation is proposed for ensembling and catchphrase extraction in content mining. In the proposition the above methods are upgraded which in turns, enhance the exactness, review, f-measure and accuracy.
机译:数据挖掘是将隐藏的先验数据与数据库分离,并在以后的某个时间将其更改为合理结构的过程。信息挖掘的不同领域是Web挖掘,文本挖掘,序列挖掘,图挖掘,时间数据挖掘,空间数据挖掘,分布式数据挖掘和多媒体挖掘。信息挖掘的一部分,它用于预算信息检查,零售和媒体传输企业,科学和设计以及中断位置和反作用。在此探索性论文中,提出了一种用于内容挖掘中的集合和标语提取的计算方法。在命题中,对上述方法进行了升级,从而提高了准确性,复查性,f测度和准确性。

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