SVM-Imputed dataset for activity recognition with missing data scenario: MNAR

This dataset was generated by applying SVM-based imputation to missing data in smart bracelet measurements collected during activities such as walking, running, climbing stairs, and resting. Missing data had been introduced artificially under Missing Not at Random (MNAR) condition.

Publication Details

Journal
Figshare
Published
2024-11-13
DOI
https://doi.org/10.6084/m9.figshare.27702894
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

SVM-Imputed dataset for activity recognition with missing data scenario: MNAR

Figshare
Context-Aware Activity Recognition Systems
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SVM-Imputed dataset for activity recognition with missing data scenario: MNAR

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Abstract

This dataset was generated by applying SVM-based imputation to missing data in smart bracelet measurements collected during activities such as walking, running, climbing stairs, and resting. Missing data had been introduced artificially under Missing Not at Random (MNAR) condition.

Figshare
Openalex Percentile: Top 66%
Context-Aware Activity Recognition Systems
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SVM-Imputed dataset for activity recognition with missing data scenario: MNAR · Figshare (2024) | TGRS Research Map | TGRS