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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | REMOVING VOTES BY USING DE-DUPLICATION METHOD |
| Authors Name: | BOKKISAM MEGHANA , NIDIGANTI HIMA BINDU , NALAJAM SIREESHA , SINGANA NIREESHA , DR.P. VASUKI |
| Unique Id: | IJSDR2304367 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | The purpose of this study was to compare effectiveness of different options for de-duplicating votes retrieved from systematic review searches. At its simplest definition, data deduplication is a process that eliminates redundant multiples of votes and ensures that only one unique instance of vote is retained on storage media. The data is analyzed to identify duplicates to ensure the single instance is indeed the single file. The business collects a large amount of data about their customers, prospects, and suspects, but the validity of data suffers due to data redundancy. Businesses often do not yield the expected outcomes due to data redundancy. All facility lists contain a name, address, voter id, aadhar number and age for each facility. We are using decision tree algorithm in machine learning to analyses the duplication. Each of these three attributes presents some distinct challenges when trying to match records between the lists provided by different contributors. Dedupe is a Python library that uses supervised machine learning and statistical techniques to efficiently identify multiple references to the same real-world entity. |
| Keywords: | Votes Removing, decision tree |
| Cite Article: | "REMOVING VOTES BY USING DE-DUPLICATION METHOD", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2352 - 2356, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304367.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2304367 Registration ID:205502 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 2352 - 2356 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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