DBF | Difference Bloom Filter , published in ICC
kandi X-RAY | DBF Summary
kandi X-RAY | DBF Summary
DBF is a C++ library. DBF has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
This is the source code of our research paper accepted by ICC 2017. In this paper, we propose a new data structure named Difference Bloom filter, which is a probabilistic data structure for multi-set query. Experiments and mathematical analysis show that it has higher accuracy and faster query speed than the state-of-the-art.
This is the source code of our research paper accepted by ICC 2017. In this paper, we propose a new data structure named Difference Bloom filter, which is a probabilistic data structure for multi-set query. Experiments and mathematical analysis show that it has higher accuracy and faster query speed than the state-of-the-art.
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DBF has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
DBF has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DBF is v1.0
Quality
DBF has no bugs reported.
Security
DBF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DBF does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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DBF releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
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DBF Key Features
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DBF Examples and Code Snippets
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Community Discussions
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install DBF
You can download it from GitHub.
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