Deduplication Methods Using Levenshtein Distance Algorithm
में बचाया:
| में प्रकाशित: | Journal of Electrical Systems vol. 20, no. 7s (2024), p. 997 |
|---|---|
| मुख्य लेखक: | |
| प्रकाशित: |
Engineering and Scientific Research Groups
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text - PDF |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3081859542 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1112-5209 | ||
| 035 | |a 3081859542 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a Valeriano, Eugene S |u Tarlac Agricultural University, Santa Ignacia, Philippines | |
| 245 | 1 | |a Deduplication Methods Using Levenshtein Distance Algorithm | |
| 260 | |b Engineering and Scientific Research Groups |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The study aimed to propose methods to improve the data integrity of the Relational databases such as MS SQL, MySQL and PostgreSQL via record duplication detection. The FODORS and ZAGAT Restaurant database benchmark datasets have been utilized to facilitate the processes involved in preparing and delivering high-quality data. Furthermore, the Levenshtein distance algorithm was used to propose three (3) methods namely: default, eliminating equal string, and knowledge-based libraries to cut duplicate records in the database. In the 70% selected threshold, the average detected duplicate records of 88 out of 112 records in the restaurant dataset. Finally, to efficiently detect duplicate records in the database, depend on the data being analyzed and threshold selected. | |
| 653 | |a Algorithms | ||
| 653 | |a Datasets | ||
| 653 | |a Relational data bases | ||
| 653 | |a Data integrity | ||
| 653 | |a Books | ||
| 653 | |a Databases | ||
| 653 | |a Methods | ||
| 653 | |a Libraries | ||
| 653 | |a Restaurants | ||
| 653 | |a Structured Query Language-SQL | ||
| 653 | |a Servers | ||
| 653 | |a Efficiency | ||
| 653 | |a COVID-19 | ||
| 773 | 0 | |t Journal of Electrical Systems |g vol. 20, no. 7s (2024), p. 997 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3081859542/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3081859542/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |