Bhavya, Bhavana (2022) Using IP address as a unique attribute for data deduplication in Network Devices. Masters thesis, Dublin, National College of Ireland.
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Abstract
This research paper contains descriptive techniques and methods followed for deduplicating record entries of large databases. It is useful in large organizations where duplication of records is a major concern as it affects the storage systems of these organizations significantly. In this paper, Logistic Regression machine learning technique has been introduced to deduplicate records and IP Address is used as major index. After implementation, the results indicate that IP Address can be considered a unique attribute for deduplicating data. Logistic Regression has accuracy of 95 percent in deduplicating records.
Item Type: | Thesis (Masters) |
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Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet |
Divisions: | School of Computing > Master of Science in Cyber Security |
Depositing User: | Clara Chan |
Date Deposited: | 24 Nov 2022 19:19 |
Last Modified: | 24 Nov 2022 19:19 |
URI: | https://norma.ncirl.ie/id/eprint/5935 |
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