期刊文献+

ROCCHIO算法实现数据库模糊查询 被引量:1

Fuzzy Query on Database with Rocchio
下载PDF
导出
摘要 SQL语言对数据库的精确查询表现出较佳的性能,但模糊查询却不太令人满意。我们将ROCCHIO反馈算法引入数据库的查询,通过用户的少量反馈同时实现了精确查询和模糊查询。另外,每一次反馈除向用户显示最相关的记录之外,还提供相关度最不确定的记录以加快查询的速率,确保了系统查询的良好性能和用户的满意度。 SQL shows a fine performance in database for exact queries, but not for fuzzy queries. We introduce Rocchio algorithm into database query to achieve both exact queries and fuzzy queries by few feedback. In addition, not only the most correlative records but also the most uncertainty (correlation value with the user query) records will be presented to accelerate the query, which granted the super performance of system and the satisfaction of user.
作者 杨军 夏清国
出处 《微电子学与计算机》 CSCD 北大核心 2006年第1期160-161,165,共3页 Microelectronics & Computer
关键词 Rocchio算法 模糊查询 相关度 用户反馈 Rocchio algorithm, Fuzzy query, Correlation measure, User feedback
  • 相关文献

参考文献5

  • 1J J Rocchio. Relevance Feedback in Information Retrieval.In the SMART Retrieval System-Experiments in Automatic Document Processing. PrenticeHall, 1971:313-323.
  • 2Mark van Uden. Rocchio: Relevance Feedback in Learning Classification Algorithms. 1995.
  • 3JiaweiHan.Micheline Kamber.范明译.数据挖掘:概念与技术[M].机械工业出版社,2001..
  • 4AbrahamSilberschatz HenryEKorth SSudarshan.数据库系统概念[M].北京:机械工业出版社,2000.1-99.
  • 5Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp. A Hybrid Relevance-Feedback Approach to Text Retrieval. In the25th European Conf. on IR Research, ECIR, 2003.

共引文献4

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部