For example, by conducting DB search in a more natural way, KWS may reveal unexpected associations among values of different attributes. Such kind of associations cannot replace standalone association rule mining, cluster analysis or other data mining tasks, but can offer useful suggestions for how data mining can be conducted.
In addition, KWS usually requires construction of intermediate data structures such as graphs or trees, based on which database search can be conducted.