[nl]

Unlikely.

A Bloom filter is usually used where representation size is important, because it can be orders of magnitude smaller than a hashtable. It doesn't perform very quickly though, because of the hashing operations needed during insert.

A Bloom filter is great for P2P search applications for example. Then peers can pass Bloom filters around, and an initial search can happen locally. If it succeeds then the search can ask the remote host if the file actually exists. The frequency those remote requests will fail depends on the number of false positives the Bloom filter is configured to give (ie, a function of its size).