02016f3fc286aebaab2f · A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives
A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives
Bloom filters are a probabilistic data structure used to evaluate set membership. A group of hash functions are used to map elements into a Bloom filter and to test elements for membership. In this paper, we propose using multiple groups of hash functions
{
"title_en": "A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives",
"designation": "",
"series": "",
"status": "",
"date": "2007-04-12",
"date_original": "April 12, 2007",
"url": "https://www.nist.gov/publications/power-management-proxy-new-best-n-bloom-filter-design-reduce-false-positives-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Miguel Jimeno, K Christensen, Allen L. Roginsky",
"abstract_excerpt_en": "Bloom filters are a probabilistic data structure used to evaluate set membership. A group of hash functions are used to map elements into a Bloom filter and to test elements for membership. In this paper, we propose using multiple groups of hash functions",
"id": "02016f3fc286aebaab2f",
"sources": [
"NIST Publications"
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{
"title_en": "A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives",
"designation": "",
"series": "",
"status": "",
"date": "2007-04-12",
"date_original": "April 12, 2007",
"url": "https://www.nist.gov/publications/power-management-proxy-new-best-n-bloom-filter-design-reduce-false-positives-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Miguel Jimeno, K Christensen, Allen L. Roginsky",
"abstract_excerpt_en": "Bloom filters are a probabilistic data structure used to evaluate set membership. A group of hash functions are used to map elements into a Bloom filter and to test elements for membership. In this paper, we propose using multiple groups of hash functions"
}
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