文章基本信息

标题：Ranking Query Results in Web Databases using Advanced User and Query Dependent Approach
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作者：R.Madhukanth ; K. Durga Prasad ; Betam Suresh 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-4
出版社：Seventh Sense Research Group
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.
关键词：Raw data; query search and user search; ranking; workload