Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications
Joint Authors
Sim, Jaemun
Lee, Jonathan Sangyun
Kwon, Ohbyung
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making.
However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data.
This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data.
Many studies have attempted to overcome these data incompleteness issues and to improve the quality of data analysis using classification algorithms.
The performance of classification algorithms may be affected by the characteristics and patterns of the missing data, such as the ratio of missing data to complete data.
We perform a concrete causal analysis of differences in performance of classification algorithms based on various factors.
The characteristics of missing values, datasets, and imputation methods are examined.
We also propose imputation and classification algorithms appropriate to different datasets and circumstances.
American Psychological Association (APA)
Sim, Jaemun& Lee, Jonathan Sangyun& Kwon, Ohbyung. 2015. Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074082
Modern Language Association (MLA)
Sim, Jaemun…[et al.]. Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074082
American Medical Association (AMA)
Sim, Jaemun& Lee, Jonathan Sangyun& Kwon, Ohbyung. Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074082
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074082