JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Detection and Correction Method of Erroneous Data Using Quantile Pattern and LSTM |
| 영문제목(English Title) |
Detection and Correction Method of Erroneous Data Using Quantile Pattern and LSTM |
| 저자(Author) |
Chulhyun Hwang
Hosung Kim
Hoekyung Jung
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| 원문수록처(Citation) |
VOL 16 NO. 04 PP. 0242 ~ 0247 (2018. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The data of K-Water waterworks is collected from various sensors and used as basic data for the operation and analysis of various devices. In this way, the importance of the sensor data is very high, but it contains misleading data due to the characteristics of the sensor in the external environment. However, the cleansing method for the missing data is concentrated on the prediction of the missing data, so the research on the detection and prediction method of the missing data is poor. This is a study to detect wrong data by converting collected data into quintiles and patterning them. It is confirmed that the accuracy of detecting false data intentionally generated from real data is higher than that of the conventional method in all cases. Future research we will prove the proposed system’s efficiency and accuracy in various environments.
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| 키워드(Keyword) |
Data cleansing
Data quality
IoT
Water supply information
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| 파일첨부 |
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