Keyword queries on databases provide easy access to data, but often suffer from low
ranking quality, ie, low precision and/or recall, as shown in recent benchmarks. It would be …

Keyword search in relational databases has been widely studied in recent years because it
requires users neither to master a certain structured query language nor to know the …

The WWW contains huge amount of information from different areas. This information may
be present virtually in the form of web pages, media, articles (research journals/magazine) …

Current peer-to-peer (P2P) streaming systems often assume that hosts are cooperative.
However, this may not be true in the open environment of the internet. In this paper, we …

A popular approach to hosting Keyword Search Systems (KWS) on relational DBMS
platforms is to employ the Candidate Network framework. The quality of a Candidate …

Keyword search in relational databases has been widely studied in recent years because it
does not require users neither to master a certain structured query language nor to know the …

Predicting the Hard Keyword Queries over Relational Databases Page 1 International Journal
of Applied Engineering Research ISSN 0973-4562 Volume 10, Number 10 (2015) pp …

This Keyword queries provide fluent access to data over big databases, but there is problem
of low and poor ranking quality or priority problem of obtaining results after querying. To …

Keyword Query Interface on databases gives easy access to data, but undergo from low
ranking quality, ie, low precision and/or recall. It would be constructive to recognize queries …

In this paper, We using the cluster-based prediction, to predict the keywords over database
in a efficient way. By using the cluster-based prediction, efficiency of searching query is …