Using cascading Bloom filters to improve the memory usage for de Brujin graphs

In this paper, we compare the results achieved on public graph databases for the classification of symbols and letters using this graph signature with those obtained using the

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The accuracy of a query to a Bloom filter depends on the number k of hash functions used, the size m of the filter as well as the number of items inserted.. Disclosing directly a

We compared our methods, the standard (i.e. with random hash function) BF (S-BF) and the Robust BF (R-BF) presented in section 3, to binary relevance (BR) and to three MLC

of the events in E m to the bits in the data field on m. In this case, l coincides with the bit position in the bitmap. However, unlikely all local events of a given device will

A Bloom Filter (BF) is a bit structure that allows to represent a set of elements in very low space [3]. To the best of our knowledge, these filters have not been used in the field

A Scalable and Efficient Privacy Preserving Global Itemset Support Approximation Using Bloom Filters.. 28th IFIP Annual Conference on Data and Applications Security and Privacy

To reduce the number of messages sent by a node, whenever a route to a destination is requested, HRAN does not flood the network but uses the information present in the node’s