| Description |
1 online resource illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Summary |
Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics, and Beyond focuses on both the theory and practice of the most emerging areas for Bloom filter application, including Big Data, Cloud Computing, Internet of Things, and Bioinformatics. Sections provide in-depth insights on structure and variants, focus on its role in computer networking, and discuss applications in various research domains, such as Big Data, Cloud Computing, and Bioinformatics. Since its inception, the Bloom Filter has been extensively experimented with and developed to enhance system performance such as web cache. Bloom filter influences many research fields, including Bioinformatics, Internet of Things, computer security, network appliances, Big Data and Cloud Computing. Includes Bloom filter methods for a wide variety of applications Defines concepts and implementation strategies that will help the reader use the suggested methods Provides an overview of issues and challenges faced by researchers. |
| Subject |
Data mining.
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Data sets.
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Exploration de données (Informatique)
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Jeux de données.
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Data mining
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Data sets
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| Added Author |
Nayak, Sabuzima, author.
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M., Naresh Babu (Muppalaneni), author.
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| Other Form: |
Print version: 9780128235201 |
| ISBN |
9780128236468 electronic book |
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0128236469 electronic book |
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9780128235201 paperback |
| Standard No. |
UKMGB 021042490 |
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AU@ 000074358139 |
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AU@ 000074666721 |
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