please give your ideas for this

On Fri, Jan 21, 2011 at 2:28 PM, snehal jain <[email protected]> wrote:

> Magy! receives a huge amount of queries everyday. They don’t want to
> store all of them, since many of the queries are unique (submitted
> just one time by just one user). Anyway, for caching reason they want
> to understand what are the queries whose frequency exceed s=0.1%. How
> do you solve the problem? Remember we don’t want to store all the
> queries.
> Hint: split the stream into windows and accept some error in
> estimation.
>
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