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Method of Data Quality Evaluation for Improving Data Quality of DSEM-Trajectory
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DSEM-Trajectory의 데이터 품질 향상을 위한 데이터 품질평가 기법

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Type
Academic journal
Author
Seonmi Kim (군산대학교) Euijong Lee (충북대학교) Sukhoon Lee (군산대학교)
Journal
Korean Institute of Information Technology The Journal of Korean Institute of Information Technology Vol.20 No.8 KCI Accredited Journals
Published
2022.8
Pages
7 - 18 (12page)
DOI
10.14801/jkiit.2022.20.8.7

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Method of Data Quality Evaluation for Improving Data Quality of DSEM-Trajectory
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DSEM-Trajectory, a dataset that collects users" movement paths, improves data quality through preprocessing when collecting data for more accurate learning. However, it is difficult to confirm whether the quality has been clearly improved because there is no quality evaluation criteria. Therefore, this paper proposes a quality evaluation technique for the DSEM-Trajectory dataset and analyzes the quality evaluation result of the actual dataset. To this end, data phenomena are identified based on data profiling techniques, and quality evaluation criteria suitable for the dataset are selected by comparing existing quality evaluation studies. Thereafter, the data quality of the dataset is measured, and the measured results are analyzed and evaluated. As a result of data quality evaluation, this paper evaluated that improvement was needed in 4 of the 8 quality management criteria and suggested improvement methods for each criteria for data quality improvement.
#data quality #data quality evaluation #data quality evaluation criteria #trajectory dataset

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. DSEM-Trajectory 데이터셋
Ⅳ. 데이터 품질평가 기법
Ⅴ. 데이터 품질평가 결과
Ⅵ. 결론
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