首页> 外文期刊>International Journal of Computer Trends and Technology >Ranking Query Results in Web Databases using Advanced User and Query Dependent Approach
【24h】

Ranking Query Results in Web Databases using Advanced User and Query Dependent Approach

机译:使用高级用户和查询相关方法对Web数据库中的查询结果进行排名

获取原文
       

摘要

Data mining is process used by companies to turn raw data into useful information. Data mining can be a cause for concern when only selected information, which is not representative of the overall sample group, is used to prove a certain hypothesis. There are many algorithms which are applied to get the exact data which is used by the user. Most common example which everyone uses in daily wise is Google search engine. Google is a search engine which has an efficient data mining algorithm written in it and because of which most of the users use Google search engine even though we have many other search engines. Search engine has got two types of searches i.e. User search and Query search. We are going to discuss about these two techniques and also going to show an advanced search where we can tell that it is more efficient than the existing techniques. Data Mining is employed here and also the ranking algorithm is used for the query searches done by the user on a particular data from the raw database. To get the efficient output expected by user we have used the Ranking algorithm which is associated with the workload.
机译:数据挖掘是公司用于将原始数据转化为有用信息的过程。当仅使用不代表整个样本组的选定信息来证明某个假设时,数据挖掘可能会引起关注。有许多算法可用于获取用户使用的确切数据。每个人日常使用的最常见示例是Google搜索引擎。 Google是一个搜索引擎,其中编写了高效的数据挖掘算法,因此即使我们有许多其他搜索引擎,大多数用户仍在使用Google搜索引擎。搜索引擎有两种搜索类型,即用户搜索和查询搜索。我们将讨论这两种技术,还将展示一个高级搜索,在其中可以说它比现有技术更有效。这里采用数据挖掘,并且排名算法还用于用户对原始数据库中特定数据进行的查询搜索。为了获得用户期望的有效输出,我们使用了与工作负载相关的排名算法。

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