Cited By
View all- Tajmouati SEl Wahbi BDakkon M(2023)Classical and fast parameters tuning in nearest neighbors with stop conditionOPSEARCH10.1007/s12597-023-00650-360:3(1063-1081)Online publication date: 4-May-2023
A study of the application of statistical methods for Big data
Authors: 
Samya Tajmouati, Abdallah Abarda, Mustapha El Moudden, Mohamed Dakkon, Mustapha EsghirAuthors Info & Claims
Samya Tajmouati, Abdallah Abarda, Mustapha El Moudden, Mohamed Dakkon, Mustapha EsghirAuthors Info & ClaimsArticle No.: 16, Pages 1 - 6
Abstract
The use of analysis and classification methods for big data is difficult. Several proposals consist in dividing randomly the population into b sub-samples and aggregating the parameters using an estimator based on the average parameters of these selected sub-samples. This paper aims to find a solution that minimizes calculations by selecting a small number b* sub-samples and keeping the same precision. We can apply this approach to the several method to measure its relevance.
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Published In
May 2018
357 pages
ISBN:9781450353045
DOI:10.1145/3230905
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 May 2018
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- Refereed limited
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LOPAL '18
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LOPAL '18 Paper Acceptance Rate 61 of 141 submissions, 43%;
Overall Acceptance Rate 61 of 141 submissions, 43%
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View all- Tajmouati SEl Wahbi BDakkon M(2023)Classical and fast parameters tuning in nearest neighbors with stop conditionOPSEARCH10.1007/s12597-023-00650-360:3(1063-1081)Online publication date: 4-May-2023
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