منابع مشابه
Scalable Bloom Filters
Bloom Filters provide space-efficient storage of sets at the cost of a probability of false positives on membership queries. The size of the filter must be defined a priori based on the number of elements to store and the desired false positive probability, being impossible to store extra elements without increasing the false positive probability. This leads typically to a conservative assumpti...
متن کاملAn efficient and scalable plagiarism checking system using Bloom filters
With the easy access to the huge volume of articles available on the Internet, plagiarism is getting worse and worse. Most recent approaches proposed to address this problem usually focus on achieving better accuracy of similarity detection process. However, there are some real applications where plagiarized contents should be detected without revealing any information. Moreover, in such web-ba...
متن کاملBloom filters
Bloom filters are used for answering queries on set membership. In this data structure, the whole element is not stored at the hashed address. Only a few bits are set in an array. Given a set S of cardinality n, we store it in an array of m bits using k hash functions h1(), . . . , hk(). Initially, all the cells in the array are set to 0. Then, for each element in the set, x ∈ S, for each 1 ≤ i...
متن کاملDistance-Sensitive Bloom Filters
A Bloom filter is a space-efficient data structure that answers set membership queries with some chance of a false positive. We introduce the problem of designing generalizations of Bloom filters designed to answer queries of the form, “Is x close to an element of S?” where closeness is measured under a suitable metric. Such a data structure would have several natural applications in networking...
متن کاملSliding Bloom Filters
A Bloom filter is a method for reducing the space (memory) required for representing a set by allowing a small error probability. In this paper we consider a Sliding Bloom Filter: a data structure that, given a stream of elements, supports membership queries of the set of the last n elements (a sliding window), while allowing a small error probability and a slackness parameter. The problem of s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Processing Letters
سال: 2007
ISSN: 0020-0190
DOI: 10.1016/j.ipl.2006.10.007